Relevant bibliographies by topics / OLAP technology

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'OLAP technology'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "OLAP technology"

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Sun, Lei, Hong Mei Xing, and Wei Wang. "Basic Technology of OLAP." Advanced Materials Research 1030-1032 (September 2014): 1892–95. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1892.

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s.The technology and principle involved in the on-line analytical processing is presented in theory, such as an overview of the on-line analytical technology, the operation of the on-line analytical technology, etc, which sets a technological foundation to build a system to realize online analysis.
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Bhardwaj, Vinayak, and Rincy Jacob. "Data Warehousing and OLAP Technology." Journal of Advance Research in Computer Science & Engineering (ISSN: 2456-3552) 1, no. 3 (March 31, 2014): 05–11. http://dx.doi.org/10.53555/nncse.v1i3.521.

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Data warehousing and Online Analytical Processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry. Data warehouse provides an effective way for the analysis and tatic to the mass data and helps to do the decision making. Many commercial products and services are now available and all of the principal database management system vendors now have offering in these areas. The paper introduces the data warehouse and online analysis process with an accent on their new requirements.
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Akushko, D. V. "OLAP TECHNOLOGY AS DECISION-MAKING SUPPORT TOOL." Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY), no. 2 (July 4, 2017): 51–53. http://dx.doi.org/10.21122/1683-6065-2017-2-51-53.

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The present article discloses the basic principles of work with OLAP technologies, shows key features in comparison with traditional systems of the reporting. The simplified structure of an OLAP cube for the analysis of cost of products of the steelsmelting shop is considered.
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Jaroli, Priyanka, and Palak Masson. "Data Warehousing and OLAP Technology (Data warehousing)." International Journal of Engineering Trends and Technology 51, no. 1 (September 25, 2017): 45–50. http://dx.doi.org/10.14445/22315381/ijett-v51p208.

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Guo, Jun, De Qing Gan, Jing Tan, and Xu Long Yao. "Based on OLAP Realize Real-Time Integrated Analysis of the Underground Metal Mines Cost Information." Applied Mechanics and Materials 214 (November 2012): 809–13. http://dx.doi.org/10.4028/www.scientific.net/amm.214.809.

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Through OLAP technology study and solve the data issues during the real-time integrated of cost information process. Using OLAP technology does classified and sequenced analyses on mines production cost multi-dimensionally and multi-angle computationally. It is carried the deep study that the application of OLAP theory and technology in underground metal mines cost analysis field, and meanwhile the relative OLAP modeling is put forward.
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Le, Hien Thi Kim, Lien Bich Nguyen, and Phuc Do. "Applying OLAP technology to support decision making in sales process." Science and Technology Development Journal 19, no. 2 (June 30, 2016): 41–57. http://dx.doi.org/10.32508/stdj.v19i2.727.

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OLAP (Online Analytical Processing) is a technology that enables the user to easily and selectively extract and view data from different points of view. It is also an important part of the decision system. This study proposes the decisions in fulfillment process which could be supported by the OLAP technology, including the quality of sales, the main product of the company, the salary and the bonus for sales staff, the credit limit and the price policy for the customer. Furthermore, this research also demonstrates the application of the OLAP technology in the decision making for the main product of A manufacturing and distributing company.
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Sharma, Pitambar, and Piyush Girdhar. "Online Analytical Processing (OLAP)." Journal of Advance Research in Computer Science & Engineering (ISSN: 2456-3552) 1, no. 3 (March 31, 2014): 01–04. http://dx.doi.org/10.53555/nncse.v1i3.520.

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This paper is basically accustomed define On-Line Analytical method (OLAP), WHO uses it and why, and to review the key choices required for OLAP code. On-Line Analytical method (OLAP) could also be a category of code technology that allows analysts, managers and executives to appreciate insight into info through fast, consistent, interactive access to an honest reasonably gettable views of {data of information} that has been transformed from data to mirror spatiality of the enterprise as understood by the user. whereas OLAP systems have the ability to answer "who?" and "what?" queries, it's their ability to answer "what if?" and "why?" that sets them except info Warehouses. OLAP applications span a variety of structure functions. Finance departments use OLAP for applications like budgeting, activity-based accountancy (allocations), cash performance analysis, and cash modelling. Sales analysis and prognostication square measure a pair of the OLAP applications found in sales departments. Among totally different applications, promoting departments use OLAP for analysis, sales prognostication, promotions analysis, consumer analysis, and market/customer segmentation. Typical manufacturing OLAP applications embody production coming up with and defect analysis. Although OLAP applications square measure found in wide divergent sensible areas, all of them want the following key choices like 3-D views of information, Calculation –intensive capabilities and Time Intelligence.
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Chaudhuri, Surajit, and Umeshwar Dayal. "An overview of data warehousing and OLAP technology." ACM SIGMOD Record 26, no. 1 (March 1997): 65–74. http://dx.doi.org/10.1145/248603.248616.

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Nabibayova, G. Ch. "Application of OLAP Technology in the Environment of Electronic Demography." Informacionnye Tehnologii 27, no. 10 (October 8, 2021): 542–49. http://dx.doi.org/10.17587/it.27.542-549.

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The article proposes an approach to the development of an electronic demographic decision support system using technologies of Data Warehouse (DW) and Interactive Analytical Processing OLAP. This makes it possible to conduct high-level demographic research and provide support to decision-makers in demographic sphere. The article notes that demography is an interdisciplinary field of research and is defined as a complex science. Each industry of demography has many indicators. A sample list of these indicators is presented. The main characteristics of the DW, which should be taken into account when developing its architecture, are stated. Among these characteristics, one can find the main defining characteristics of Big Data — volume, velocity, variety, veracity, variability, visualization, value etc. For a more rational and efficient use of a large amount of information, taking into account its constant increase, to ensure the speed of execution of requests for a given system, it is proposed to use a Bus of Interconnected Data Marts (DM) as an architecture of DW. One of the advantages of using DM is that their use assumes distributed parallel data processing. This architecture allows for much faster results generation. It is based on the MapReduce distributed computing model and the Hadoop project. In addition, to effectively use large amounts of data, it is also proposed to use OLAP operations such as roll-up and drill-down, as well as fuzzy set theory, based on the technique of computing with words. The article also shows the practical application of interconnected DM. An OLAP cube is built on the basis of these DM. OLAP operations provide the ability to view cubes in different slices and provide aggregate data.
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Errattahi, Rahhal, Mohammed Fakir, and Fatima Zahra Salmam. "Explanation in OLAP Data Cubes." Journal of Information Technology Research 7, no. 4 (October 2014): 63–78. http://dx.doi.org/10.4018/jitr.2014100105.

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OLAP is an important technology that offers a fast and interactive data navigation, it also provides tools to explore data cubes in order to extract interesting information from a multidimensional data structures. However, the OLAP exploration is done manually, without tools that could automatically extract relevant information from the cube. In addition OLAP is not capable of explaining relationships that could exist within data. This paper presents a new approach to coupling between data mining and online analytical processing. Its approach provides the explanation in OLAP data cubes by using the association rules between the inter-dimensional predicates. The mining process could be done by one of the two algorithms, Apriori and Fp-Growth, in which aggregate measures to calculate support and confidence are exploited. It also evaluates the interestingness of mined association rules according to the Lift criteria.
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Dissertations / Theses on the topic "OLAP technology"

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Chui, Chun-kit, and 崔俊傑. "OLAP on sequence data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45823996.

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Rehman, Nafees Ur [Verfasser]. "Extending the OLAP Technology for Social Media Analysis / Nafees Ur Rehman." Konstanz : Bibliothek der Universität Konstanz, 2015. http://d-nb.info/1079478485/34.

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Zhao, Hongyan. "A visualization tool to support Online Analytical Processing." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE0000622.

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Fu, Lixin. "CubiST++ a new approach to improving the performance of ad-hoc cube queries /." [Gainesville, Fla.] : University of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/ank7110/masterfinal0.pdf.

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Thesis (Ph. D.)--University of Florida, 2001.
Title from first page of PDF file. Document formatted into pages; contains x, 100 p.; also contains graphics. Vita. Includes bibliographical references (p. 95-99).
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Bell, Daniel M. "An evaluative case report of the group decision manager : a look at the communication and coordination issues facing online group facilitation /." free to MU campus, to others for purchase, 1998. http://wwwlib.umi.com/cr/mo/fullcit?p9901215.

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Ferreira, André Luiz Nascente. "GESTÃO DO PROCESSO DE RELIGAÇÃO DE ÁGUA TRATADA NA CIDADE DE GOIÂNIA, UTILIZANDO OLAP E DATA WAREHOUSE." Pontifícia Universidade Católica de Goiás, 2013. http://localhost:8080/tede/handle/tede/2436.

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Made available in DSpace on 2016-08-10T10:40:16Z (GMT). No. of bitstreams: 1 ANDRE LUIZ NASCENTE FERREIRA.pdf: 1645123 bytes, checksum: b3c5d896af5d93a8c4c05a04afea9227 (MD5) Previous issue date: 2013-03-08
Through sanitation, economic, social and public health problems are minimized resulting in a considerable improvement in quality of life. For companies in this line of work can improve their results by establishing quality in the managment of their internal processes. There is a specific process of these companies dealing with Reconnections of Treated Water, which usually occur due to cutting of their supply. This work discusses the concepts of Information Technology (IT) in the intent to use them to improve the management of this process, covering specific theories of Software Engineering, Data Warehouse and OLAP. Overall, the work presents the development and implementation of an OLAP tool to assist in specific control over the time spent in performing the Reconnections of Treated Water in the city of Goiânia, state of Goiás, and analyzes the results of this tool, comparing scenarios before and after its implementation of the same. According to the analysis of the results, we observed improvements on the times of reconnections after the implementation of the developed tool.
Através do saneamento, problemas econômicos, sociais e de saúde pública são amenizados resultando em uma melhoria considerável na qualidade de vida da população. Para que empresas desse ramo de atividade possam desempenhar cada vez melhor suas atribuições é necessário estabelecer qualidade na gestão dos seus processos internos. Existe um processo específico dessas empresas que são indispensáveis para a manutenção da qualidade de vida e disponibilização do saneamento para a população, que se refere às Religações de Água Tratada, que geralmente ocorrem devido ao corte do seu abastecimento. Este trabalho aborda conceitos de Tecnologia da Informação (TI) na intenção de utilizá-los para melhorar a gestão deste processo, abrangendo teorias específicas de Engenharia de Software, OLAP e Data Warehouse. De maneira geral, o trabalho apresenta o desenvolvimento e implantação de uma ferramenta OLAP específica para auxiliar no controle sobre o tempo gasto na execução das Religações de Água Tratada na cidade de Goiânia, no estado de Goiás, e analisa os resultados obtidos por essa ferramenta, comparando cenários antes e após a implantação da mesma. De acordo com a análise dos resultados obtidos, pôde-se observar melhorias em relação ao tempo de execução das religações após a implantação da ferramenta desenvolvida.
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Баглай, Роман Олегович. "Інформаційна архітектура банку на основі хмарних технологій." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/43523.

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Дисертація на здобуття наукового ступеня кандидата технічних наук (доктора філософії) за спеціальністю 05.13.06 – інформаційні технології (122 – комп’ютерні науки). – Національний технічний університет "Харківський політехнічний інститут", Харків, 2019. Об’єктом дослідження є процеси автоматизованого управління потоками даних інформаційної архітектури банку на основі хмарних технологій. Предметом дослідження є моделі, методи та інформаційні технології оптимізації обробки банківської інформації на основі хмарної інфраструктури. Дисертацію присвячено вирішенню актуальної науково-прикладної задачі підвищення ефективності обробки інформації регламенту операційного дня банку шляхом модернізації інформаційної архітектури банку на основі впровадження хмарних технологій. У дисертації проведено аналіз можливості впровадження хмарних технологій для забезпечення діяльності банківських установ та підтримки функціонування бізнес-процесів. Розглянуто проблеми та переваги хмарних технологій на різних рівнях архітектурного ландшафту банку з урахуванням специфіки нормативно-правового регулювання діяльності фінансової установи. У вступі обґрунтовано актуальність теми дисертації, зазначено зв’язок роботи з науковими темами, сформульовано мету та задачі дослідження, визначено об’єкт, предмет та методи дослідження, показано наукову новизну та практичне значення отриманих результатів, наведено інформацію про практичне використання, апробацію результатів та їх висвітлення у публікаціях. У першому розділі проведено аналіз основних підходів до управління банківською інформацією та перспективних напрямів застосування хмарних технологій для банківських інформаційних систем. Зокрема, проведено декомпозицію об’єкта дослідження на складові – «інформаційна архітектура», «хмарні технології», «хмарні обчислення» «банківська інформаційна система (ІС)» з метою подальшого застосування методів аналізу та синтезу. Малодослідженими залишаються проблеми та переваги застосування хмарних технологій у банківських установах України. Банки, які не є професійними компаніями з інформаційних технологій, змушені інвестувати і підтримувати значну кількість ресурсів інфраструктури ІТ та персоналу для управління власними бізнес-процесами. У такій ситуації хмарні технології дозволяють скоротити витрати та підвищити ефективність використання банківських інформаційних систем. У другому розділі досліджено інформаційні технології мінімізації загроз безпеки хмарних технологій для автоматизованих банківських систем шляхом застосування механізмів єдиного входу з метою забезпечення сильної автентифікації користувачів. Досліджено механізми впровадження такої автентифікації та їх практичне застосування для забезпечення безпеки та підвищення ефективності бізнес-процесів банку. Вироблено пропозиції щодо критеріїв вибору постачальника інформаційної технології управління обліковими даними як сервісу, механізмів єдиного входу в систему та федеративних сценаріїв доступу для забезпечення сильної автентифікації користувачів банківських ІС. Автором удосконалено метод оцінки загроз інформаційної безпеки банку при впровадженні хмарних технологій, який має в основі якісний аналіз імовірності ризику та обсягу збитків на основі міжнародного стандарту класифікації кібернетичних атак MITRE, що дозволило оптимізувати механізми захисту інформаційної архітектури банку від потенційних кібератак. У третьому розділі розроблено ІТ-рішення для банківської системи на основі хмарних технологій, що дозволяє перенести великі обчислювальні навантаження в хмарне середовище, забезпечивши відповідність вимогам загального регламенту про захист даних (GDPR) та національних регуляторів. Анонімізація даних клієнта описується як рішення для уникнення ризиків, пов’язаних із конфіденційністю даних клієнтів, а також необхідністю їх згоди на розміщення персональних даних у хмарному середовищі. Удосконалено інформаційну технологію реплікації даних банківських ІС, що ґрунтується на механізмах деперсоніфікації клієнтських даних. Це дозволило покращити захист конфіденційності даних та виконати вимоги НБУ щодо локалізації банківських персоніфікованих клієнтських даних на серверах, які фізично розташовані на території України. Розроблена архітектура рішень ІТ поєднує обробку даних у режимі реального часу та пакетних завантажень даних. На відміну від традиційного способу використання даних вони не тільки мігрують в базу даних (БД), розгорнуту на хмарній інфраструктурі, а також реплікуються назад у наземну інфраструктуру. Вимоги безпеки, що регулюються стандартами конфіденційності, цілісності та доступності даних, повністю задовольняються відповідними хмарними технологіями. Автором побудовано математичну модель процесу закриття операційного дня банку і вирішено задачу оптимізації часу та вартості обробки інформації для банківських ІС, розгорнутих у хмарному середовищі, що дозволило визначити оптимальну конфігурацію хмарних сервісів в інформаційній архітектурі банку на базі сервісів AWS.
The dissertation for the degree of a candidate in technical sciences (PhD), specialty 05.13.06 – information technologies (122 - computer science). – National Technical University «Kharkiv Polytechnic Institute», Kharkiv, 2019. The research object is the processes of automated management of data flows of the bank's information architecture based on cloud technologies. The research subject is models, methods and information technologies for optimization of banking information processing based on cloud infrastructure. The dissertation is devoted to the solution of the actual scientific and applied problem of increasing the efficiency of processing information of the bank end of day procedure by modernizing the information architecture of the bank based on the introduction of cloud technologies. The dissertation analyzes the feasibility of implementing cloud technologies to support the activities of banking institutions and functioning of business processes. The problems and advantages of cloud technologies at different levels of the bank's architectural landscape are considered, taking into account the specifics of regulatory requirements to activity of a financial institution. The introduction contains the proof dissertation topic relevance, indicates the relationship of work with scientific topics, purpose and objectives of the study, identified the object, subject and methods of research, shows the scientific novelty and practical significance of the results obtained, provides information on practical use, validation of results and their coverage in publications. The first chapter includes analyzes of the basic approaches to banking information management and the perspective fields to apply the cloud technologies for banking information systems. In particular, the decomposition of the object of study into components - "information architecture", "cloud technologies", "cloud computing" "banking information system (IS)", was carried out in order to further apply the methods of analysis and synthesis. The problems and benefits of using cloud technologies in Ukrainian banking institutions remain under-researched. Banks which are non-professional IT companies are forced to invest and maintain a significant amount of IT infrastructure resources and staff to manage their own business processes. In such a situation, cloud technologies help reduce costs and increase the efficiency of banking information systems. The second chapter explores information technology to minimize the security threats of cloud technologies for automated banking systems by using single sign on mechanisms to ensure strong user authentication. The mechanisms of implementation of such authentication and their practical application for security and increase of efficiency of bank business processes are investigated. Proposals have been made on the criteria for choosing a provider of identity access management as a service, single sign-on mechanisms and federated access scenarios to ensure strong authentication of users of banking ISs. The author has improved the method of assessing bank information security threats in the implementation of cloud technologies, which is based on a qualitative analysis of the probability of risk and volume of losses based on the international standard classification of cyber attacks MITRE, which allowed to optimize the mechanisms of protection of the information architecture of the bank against potential cyber attacks. The third chapter contains designed cloud-based IT solutions for the banking system that can transfer large computational loads to the cloud environment, ensuring compliance with the General Data Protection Regulation (GDPR) and national regulators. Anonymization of customer data is described as a solution to avoid the risks associated with the confidentiality of customer data and the need for their consent to the placement of personal data in a cloud environment. Improved information technology for replication of banking IS data, based on mechanisms of customer data depersonification. This allowed to improve the protection of data confidentiality and to fulfill the requirements of the NBU for localization of banking personalized client data on servers physically located in the territory of Ukraine. The developed IT solution architecture combines real-time data processing and batch data uploads. Unlike the traditional way of using data, it is not only migrated to a DB (database) deployed on cloud infrastructure, but also replicated back to On-premise infrastructure. Security requirements, governed by the standards of confidentiality, integrity and availability of data, are fully met by relevant cloud technologies. The author developed a mathematical model of the process of closing a bank's operating day and solved the problem of optimizing the time and cost of information processing for bank ICs deployed in a cloud environment, which allowed to determine the optimal configuration of cloud services in the bank's information architecture based on AWS services.
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Kamath, Akash S. "An efficient algorithm for caching online analytical processing objects in a distributed environment." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174678903.

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Баглай, Роман Олегович. "Інформаційна архітектура банку на основі хмарних технологій." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/43520.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.06 – інформаційні технології. – Київський національний торговельно-економічний університет, Київ, 2019. У дисертації проведено аналіз можливості впровадження хмарних технологій для забезпечення діяльності банківських установ та підтримки функціонування бізнес-процесів. Розглянуто проблеми та переваги хмарних технологій на різних рівнях архітектурного ландшафту банку з урахуванням специфіки нормативно-правового регулювання діяльності фінансової установи. Метою дисертаційної роботи є підвищення ефективності обробки інформації регламенту операційного дня банку шляхом модернізації інформаційної архітектури банку на основі впровадження хмарних технологій. Розглянуто сучасні підходи щодо управління безпекою ІТ банківських установ для мінімізації загроз, в тому числі породжених хмарними технологіями. Запропоновано сучасний підхід до побудови систем з механізмами забезпечення безпеки ІТ. Проведено аналіз загроз безпеки інформаційних технологій при впровадженні хмарних обчислень для забезпечення безперебійної та ефективної діяльності банківських установ та запропоновано заходи щодо мінімізації цих загроз. Результати дослідження апробовані шляхом впровадження відповідних проектів, обумовлених викликами і тенденціями банківської сфери, ринковими та регуляторними змінами. Виконано впровадження результатів дисертаційної роботи у діяльність управління менеджменту портфелю проектів АТ "Райффайзен Банк Аваль" (м. Київ) щодо модернізації архітектури банківських інформаційних систем та розробки програмного забезпечення на основі хмарних технологій; у діяльність ТОВ "ІТ Інновації Україна" (м. Київ) щодо класифікації загроз інформаційної безпеки на основі якісної оцінки ризиків та ефективності використання серверних ресурсів за рахунок застосування хмарних обчислень.
The research for a Ph. D. science degree by specialty 05.13.06 – information technologies. – Kyiv National University of Trade and Economics, Kyiv, 2019. The feasibility study for implementation of cloud technologies to support the activities of banking institutions and functioning of business processes is conducted in the dissertation. The problems and advantages of cloud technologies at different levels of the bank's architectural landscape are investigated, taking into account the specifics of regulatory activity of a financial institution. The purpose of the dissertation is to increase the efficiency of information processing in frames of end of day procedure of the Core Banking System by modernizing the information architecture of the bank based on cloud technologies implementation. Modern approaches to managing IT security of banking institutions to minimize threats, including those generated by cloud technologies, are considered. A modern approach to building systems with IT security mechanisms is proposed. The analysis of information technology security threats in the implementation of cloud computing has been conducted to ensure the smooth and efficient operation of banking institutions and measures have been proposed to minimize these threats. The proof of concepts for results of the study was included to the relevant projects, driven by the challenges and trends of the banking sector, market and regulatory changes.
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Norguet, Jean-Pierre. "Semantic analysis in web usage mining." Doctoral thesis, Universite Libre de Bruxelles, 2006. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210890.

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With the emergence of the Internet and of the World Wide Web, the Web site has become a key communication channel in organizations. To satisfy the objectives of the Web site and of its target audience, adapting the Web site content to the users' expectations has become a major concern. In this context, Web usage mining, a relatively new research area, and Web analytics, a part of Web usage mining that has most emerged in the corporate world, offer many Web communication analysis techniques. These techniques include prediction of the user's behaviour within the site, comparison between expected and actual Web site usage, adjustment of the Web site with respect to the users' interests, and mining and analyzing Web usage data to discover interesting metrics and usage patterns. However, Web usage mining and Web analytics suffer from significant drawbacks when it comes to support the decision-making process at the higher levels in the organization.

Indeed, according to organizations theory, the higher levels in the organizations need summarized and conceptual information to take fast, high-level, and effective decisions. For Web sites, these levels include the organization managers and the Web site chief editors. At these levels, the results produced by Web analytics tools are mostly useless. Indeed, most of these results target Web designers and Web developers. Summary reports like the number of visitors and the number of page views can be of some interest to the organization manager but these results are poor. Finally, page-group and directory hits give the Web site chief editor conceptual results, but these are limited by several problems like page synonymy (several pages contain the same topic), page polysemy (a page contains several topics), page temporality, and page volatility.

Web usage mining research projects on their part have mostly left aside Web analytics and its limitations and have focused on other research paths. Examples of these paths are usage pattern analysis, personalization, system improvement, site structure modification, marketing business intelligence, and usage characterization. A potential contribution to Web analytics can be found in research about reverse clustering analysis, a technique based on self-organizing feature maps. This technique integrates Web usage mining and Web content mining in order to rank the Web site pages according to an original popularity score. However, the algorithm is not scalable and does not answer the page-polysemy, page-synonymy, page-temporality, and page-volatility problems. As a consequence, these approaches fail at delivering summarized and conceptual results.

An interesting attempt to obtain such results has been the Information Scent algorithm, which produces a list of term vectors representing the visitors' needs. These vectors provide a semantic representation of the visitors' needs and can be easily interpreted. Unfortunately, the results suffer from term polysemy and term synonymy, are visit-centric rather than site-centric, and are not scalable to produce. Finally, according to a recent survey, no Web usage mining research project has proposed a satisfying solution to provide site-wide summarized and conceptual audience metrics.

In this dissertation, we present our solution to answer the need for summarized and conceptual audience metrics in Web analytics. We first described several methods for mining the Web pages output by Web servers. These methods include content journaling, script parsing, server monitoring, network monitoring, and client-side mining. These techniques can be used alone or in combination to mine the Web pages output by any Web site. Then, the occurrences of taxonomy terms in these pages can be aggregated to provide concept-based audience metrics. To evaluate the results, we implement a prototype and run a number of test cases with real Web sites.

According to the first experiments with our prototype and SQL Server OLAP Analysis Service, concept-based metrics prove extremely summarized and much more intuitive than page-based metrics. As a consequence, concept-based metrics can be exploited at higher levels in the organization. For example, organization managers can redefine the organization strategy according to the visitors' interests. Concept-based metrics also give an intuitive view of the messages delivered through the Web site and allow to adapt the Web site communication to the organization objectives. The Web site chief editor on his part can interpret the metrics to redefine the publishing orders and redefine the sub-editors' writing tasks. As decisions at higher levels in the organization should be more effective, concept-based metrics should significantly contribute to Web usage mining and Web analytics.


Doctorat en sciences appliquées
info:eu-repo/semantics/nonPublished

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Books on the topic "OLAP technology"

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(Firm), OLAP Train, ed. The Microsoft SQL server 2000 analysis services step by step. Redmond, Wash: Microsoft Press, 2000.

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Paredes, John. The multidimensional data modeling toolkit: Making your business intelligence applications smart with oracle OLAP. New York: OLAP World Press, 2009.

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Paredes, John. The multidimensional data modeling toolkit: Making your business intelligence applications smart with oracle OLAP. New York: OLAP World Press, 2009.

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Paredes, John. The multidimensional data modeling toolkit: Making your business intelligence applications smart with oracle OLAP. New York: OLAP World Press, 2009.

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SAS Institute. SAS 9.2 OLAP Server: MDX guide. Cary, N.C: SAS Institute Inc., 2009.

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Institute, SAS, ed. SAS 9.1.3 OLAP server: Administrator's guide. 5th ed. Cary, NC: SAS Institute, 2006.

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Institute, SAS, ed. SAS 9.1.3 OLAP server administrator's guide. 3rd ed. Cary, NC: SAS Pub., 2005.

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Institute, SAS, ed. SAS 9.1.3 OLAP Server: User's guide. Cary, NC: SAS Pub., 2005.

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ACM, International Workshop on Data Warehousing and OLAP (5th 2002 McLean Va ). DOLAP 2002: ACM Fifth International Workshop on Data Warehousing and OLAP, in conjunction with the Eleventh International Conference on Information and Knowledge Management (CIKM 2002) : November 8, 2002, McLean, VA. New York, N.Y: Association for Computing Machinery, 2002.

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ACM, International Workshop on Data Warehousing and OLAP (8th 2005 Bremen Germany). DOLAP '05: Proceedings of the Eighth ACM International Workshopon [i.e. Workshop on] Data Warehousing and OLAP : November 4-5, 2005, Bremen, Germany, co-located with CIKM 2005. New York: Association for Computing Machinery, 2005.

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Book chapters on the topic "OLAP technology"

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Wang, Xin, Steffen Staab, and Thanassis Tiropanis. "ASPG: Generating OLAP Queries for SPARQL Benchmarking." In Semantic Technology, 171–85. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50112-3_13.

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Jerbi, Houssem, Franck Ravat, Olivier Teste, and Gilles Zurfluh. "Applying Recommendation Technology in OLAP Systems." In Enterprise Information Systems, 220–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01347-8_19.

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Maniatis, Andreas S. "The Case for Mobile OLAP." In Current Trends in Database Technology - EDBT 2004 Workshops, 405–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30192-9_40.

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Malinowski, Elzbieta. "Improving Expression Power in Modeling OLAP Hierarchies." In Information Systems, Technology and Management, 19–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00405-6_6.

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Gür, Nurefşan, Katja Hose, Torben Bach Pedersen, and Esteban Zimányi. "Enabling Spatial OLAP Over Environmental and Farming Data with QB4SOLAP." In Semantic Technology, 287–304. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50112-3_22.

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Lin, Song, and Donald E. Brown. "Criminal Incident Data Association Using the OLAP Technology." In Intelligence and Security Informatics, 13–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44853-5_2.

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Akinde, Michael O., Michael H. Böhlen, Theodore Johnson, Laks V. S. Lakshmanan, and Divesh Srivastava. "Efficient OLAP Query Processing in Distributed Data Warehouses." In Advances in Database Technology — EDBT 2002, 336–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45876-x_23.

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You, Byeong-Seob, Jae-Dong Lee, and Hae-Young Bae. "Extension of R-Tree for Spatio-temporal OLAP Operations." In Distributed Computing and Internet Technology, 438–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11951957_38.

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Cuzzocrea, Alfredo. "OLAP Data Cube Compression Techniques: A Ten-Year-Long History." In Future Generation Information Technology, 751–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17569-5_74.

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Karayannidis, Nikos, Timos Sellis, and Yannis Kouvaras. "CUBE File: A File Structure for Hierarchically Clustered OLAP Cubes." In Advances in Database Technology - EDBT 2004, 621–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24741-8_36.

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Conference papers on the topic "OLAP technology"

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Muhammad Azhar Chohan and Muhammad Younus Javed. "OLAP and OLTP data integration for operational level decision making." In 2010 International Conference on Networking and Information Technology (ICNIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/icnit.2010.5508466.

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Zhenyuan, Wu, and Hu Haiyan. "OLAP Technology and Its Business Application." In 2010 Second Global Congress on Intelligent Systems (GCIS). IEEE, 2010. http://dx.doi.org/10.1109/gcis.2010.126.

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Hongzhi Wang, Jianzhong Li, Zhenying He, and Hong Gao. "OLAP for XML Data." In The Fifth International Conference on Computer and Information Technology (CIT'05). IEEE, 2005. http://dx.doi.org/10.1109/cit.2005.146.

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Bhan, Madhu, Suresh Kumar T V, and Rajanikanth K. "Size Estimation of OLAP Systems." In Third International Conference on Computer Science & Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2013. http://dx.doi.org/10.5121/csit.2013.3649.

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Ben Messaoud, Riadh, Omar Boussaid, and Sabine Rabaseda. "Mining Association Rules in OLAP Cubes." In 2006 Innovations in Information Technology. IEEE, 2006. http://dx.doi.org/10.1109/innovations.2006.301947.

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Bhan, Madhu, D. E. Geetha, T. V. Suresh Kumar, and K. Rajanikanth. "Modeling of Object Oriented OLAP." In 2009 Sixth International Conference on Information Technology: New Generations. IEEE, 2009. http://dx.doi.org/10.1109/itng.2009.166.

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Marcel, Patrick. "Log-driven user-centric OLAP." In 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2014. http://dx.doi.org/10.1109/mipro.2014.6859794.

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Yanfei Lv, Huihong He, Hong Zhang, Zhe Liu, and Yasong Zheng. "Olap query performance tuning in Spark." In Third International Conference on Cyberspace Technology (CCT 2015). Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/cp.2015.0832.

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Soewito, Benfano, Sani Muhamad Isa, and Fergyanto E. Gunawan. "OLAP Analysis of Water Formation Data." In 2018 International Conference on Information Management and Technology (ICIMTech). IEEE, 2018. http://dx.doi.org/10.1109/icimtech.2018.8528114.

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Xinliang Liu, Junping Du, Wenzheng Li, Min Zuo, and Zhongming Han. "Data warehousing for data mining based on OLAP technology." In China-Ireland International Conference on Information and Communications Technologies (CIICT 2008). IEE, 2008. http://dx.doi.org/10.1049/cp:20080786.

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