Relevant bibliographies by topics / OLAP Recommender

Contents

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

Academic literature on the topic 'OLAP Recommender'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "OLAP Recommender"

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Giacometti, Arnaud, Patrick Marcel, Elsa Negre, and Arnaud Soulet. "Query Recommendations for OLAP Discovery-Driven Analysis." International Journal of Data Warehousing and Mining 7, no. 2 (2011): 1–25. http://dx.doi.org/10.4018/jdwm.2011040101.

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Recommending database queries is an emerging and promising field of research and is of particular interest in the domain of OLAP systems, where the user is left with the tedious process of navigating large datacubes. In this paper, the authors present a framework for a recommender system for OLAP users that leverages former users’ investigations to enhance discovery-driven analysis. This framework recommends the discoveries detected in former sessions that investigated the same unexpected data as the current session. This task is accomplished by (1) analysing the query log to discover pairs of
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Bimonte, Sandro, and Elsa Negre. "Evaluation of user satisfaction with OLAP recommender systems: an application to RecoOLAP on a agricultural energetic consumption datawarehouse." International Journal of Business Information Systems 21, no. 1 (2016): 117. http://dx.doi.org/10.1504/ijbis.2016.073384.

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Selmane, Sid Ali, Omar Boussaid, and Fadila Bentayeb. "Towards Collaborative Multidimensional Query Recommendation with Triadic Association Rules." International Journal of Decision Support System Technology 7, no. 3 (2015): 17–35. http://dx.doi.org/10.4018/ijdsst.2015070102.

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This paper describes a new personalization process for decisional queries through a new approach based on triadic association rules mining. This process exploits the decision query log files of end users and follows these five steps: (1) generation of a triadic context from the multidimensional query logs of OLAP1 query analysis server; (2) mapping the triadic context into the dyadic one; (3) computation of (conventional) dyadic association rules; (4) generation of triadic association rules through a factorization process of dyadic ones and convey a richer semantics. The aim of the personaliza
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Liu, Joyce, William Thomas Barry, Michael J. Birrer, et al. "A randomized phase 2 trial comparing efficacy of the combination of the PARP inhibitor olaparib and the antiangiogenic cediranib against olaparib alone in recurrent platinum-sensitive ovarian cancer." Journal of Clinical Oncology 32, no. 18_suppl (2014): LBA5500. http://dx.doi.org/10.1200/jco.2014.32.18_suppl.lba5500.

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LBA5500 Background: PARP inhibitors and anti-angiogenics are clinically active in recurrent ovarian cancer (OvCa). Preclinical studies suggest these agents can synergize, and a phase 1 study showed that the combination of cediranib (ced) and olaparib (olap) is well-tolerated. We therefore compared the activity of olap alone (Olap) to combined ced and olap (Ced/Olap) in treatment of recurrent platinum-sensitive (plat-sens) high-grade serous (HGS) or BRCA-related OvCa (NCT 01116648). Methods: Patients (pts) across 9 centers were randomized 1:1 in this Ph 2 open label study to Olap (olap 400 mg c
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Ding, Heng, Qian Yuan Zhang, Yan Ping Wang, and Yan Jiang. "Data Warehousing and Data Mining Technology Implementation in Jpeen_CRM System Design." Applied Mechanics and Materials 610 (August 2014): 769–74. http://dx.doi.org/10.4028/www.scientific.net/amm.610.769.

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In this paper, on the basis of in-depth study of data warehouse, OLAP, data mining and other key technologies, according to the characteristics of the Jpeen customer relationship management (Jpeen_CRM), developed a Web-based customer relationship management system. First of all, research the demand for Jpeen company and create Jpeen_CRM data warehouse. Second, create the OLAP multidimensional cube which is applied to the analysis of customer transactions. Using the decision tree algorithm to create mining models for customers to choose glasses, and gives pruning optimize decision tree. Using d
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Mattsson, Ulf, Mats Jontell, and Palle Holmstrup. "Oral Lichen Planus and Malignant Transformation: Is a Recall of Patients Justified?" Critical Reviews in Oral Biology & Medicine 13, no. 5 (2002): 390–96. http://dx.doi.org/10.1177/154411130201300503.

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There has been a continuous debate regarding the possible malignant potential of oral lichen planus (OLP). Based on the results from follow-up studies, OLP is regarded by several authors as a pre-malignant condition, and patients with OLP have been recommended to have their lesions monitored two to four times annually. This recommendation needs reconsideration, because a recall system of all patients with OLP requires substantial economic resources. In a reality where such resources are limited, a recall system must be weighed against other benefits and the fact that the malignant potential of
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Świąder-Leśniak, Anna, Anna Majcher, Beata Pyrżak, and Piotr Dziechciarz. "Consensus on the principles of physical development monitoring in children, possible or not?" Pediatria i Medycyna Rodzinna 16, no. 3 (2020): 268–74. http://dx.doi.org/10.15557/pimr.2020.0049.

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Regular, long-term anthropometric follow-up is one of the fundamental methods of assessing the child’s health and well-being. However, there is still a lot of inconsistency in anthropometric practices and standards that may have a negative impact on clinical practice (e.g. delay in diagnosing children with growth or feeding disorders, genetic and metabolic syndromes). The paper discusses the principles of basic measurements: length/height, body weight, circumferences: head, chest and arm. Attention was also paid to the use of professional anthropometric equipment. Appropriately performed measu
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Yiemstan, Sasirin, Sudaduang Krisdapong, and Pornpan Piboonratanakit. "Association between Clinical Signs of Oral Lichen Planus and Oral Health-Related Quality of Life: A Preliminary Study." Dentistry Journal 8, no. 4 (2020): 113. http://dx.doi.org/10.3390/dj8040113.

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Subjective patient’s symptoms and Oral Health-Related Quality of Life (OHRQoL) are recommended to be involved in oral lichen planus (OLP) studies. This study aims to assess the OHRQoL of OLP patients, and their associations with pain and OLP in Thai patients. Sixty-nine patients were interviewed using the Numeric Rating Scale (NRS) for pain perception and Oral Impacts on Daily Performance (OIDP) index. OLP signs examined included localization, types, number of affected sides and clinical severity using the Thongprasom sign scoring system. There were significant associations (rs = 0.490, p <
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Mester, Alexandru, Ondine Lucaciu, Lidia Ciobanu, Dragos Apostu, Aranka Ilea, and Radu Septimiu Campian. "Clinical features and management of oral lichen planus (OLP) with emphasis on the management of hepatitis C virus (HCV)-related OLP." Bosnian Journal of Basic Medical Sciences 18, no. 3 (2018): 217–23. http://dx.doi.org/10.17305/bjbms.2018.3133.

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Oral lichen planus (OLP) is a chronic inflammatory disease characterized by the occurrence of multiple, symmetrical lesions in the oral cavity. Hepatitis C virus (HCV) infection has been suggested as an etiological factor in OLP. The purpose of this review was to summarize the current literature regarding the treatment of OLP in patients with HCV infection. An electronic search of the PubMed database was conducted until January 2018, using the following keywords: OLP, HCV, corticosteroids, retinoids, immunomodulatory agents, surgical interventions, photochemotherapy, laser therapy, interferon,
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Gadda, Rohit B., Rohini Salvi, and Varun Gul Bhatia. "Oral Lichen Planus : A Review." Journal of Contemporary Dentistry 1, no. 2 (2011): 33–36. http://dx.doi.org/10.5005/jcd-1-2-33.

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Abstract Oral lichen planus (OLP) is a chronic mucosal condition commonly encountered in clinical dental practice. Lichen planus is believed to represent an abnormal immune response in which epithelial cells are recognized as foreign, secondary to changes in the antigenicity of the cell surface. It has various oral manifestations, the reticular form being the most common. The erosive and atrophic forms of OLP are less common, yet are most likely to cause symptoms. Topical corticosteroids constitute the mainstay of treatment for symptomatic lesions of OLP. Recalcitrant lesions can be treated wi
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Dissertations / Theses on the topic "OLAP Recommender"

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Koukal, Bohuslav. "OLAP Recommender: Supporting Navigation in Data Cubes Using Association Rule Mining." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-359132.

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Manual data exploration in data cubes and searching for potentially interesting and useful information starts to be time-consuming and ineffective from certain volume of the data. In my thesis, I designed, implemented and tested a system, automating the data cube exploration and offering potentially interesting views on OLAP data to the end user. The system is based on integration of two data analytics methods - OLAP analysis data visualisation and data mining, represented by GUHA association rules mining. Another contribution of my work is a research of possibilities how to solve differences
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Aligon, Julien. "Similarity-based recommendation of OLAP sessions." Thesis, Tours, 2013. http://www.theses.fr/2013TOUR4022/document.

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L’OLAP (On-Line Analytical Processing) est le paradigme principal pour accéder aux données multidimensionnelles dans les entrepôts de données. Pour obtenir une haute expressivité d’interrogation, malgré un petit effort de formulation de la requête, OLAP fournit un ensemble d’opérations (comme drill-down et slice-and-dice ) qui transforment une requête multidimensionnelle en une autre, de sorte que les requêtes OLAP sont normalement formulées sous la forme de séquences appelées Sessions OLAP. Lors d’une session OLAP l’utilisateur analyse les résultats d’une requête et, selon les données spécifi
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Chudán, David. "Association rule mining as a support for OLAP." Doctoral thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-201130.

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The aim of this work is to identify the possibilities of the complementary usage of two analytical methods of data analysis, OLAP analysis and data mining represented by GUHA association rule mining. The usage of these two methods in the context of proposed scenarios on one dataset presumes a synergistic effect, surpassing the knowledge acquired by these two methods independently. This is the main contribution of the work. Another contribution is the original use of GUHA association rules where the mining is performed on aggregated data. In their abilities, GUHA association rules outperform cl
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Books on the topic "OLAP Recommender"

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Kovalenko, Vladimir. Design of information systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/987869.

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The tutorial discusses the design features of information systems (is) involved in the implementation of CALS technologies: MRP/MRPII/ERP systems, e-Commerce systems (B2B), supply chain management (SCM), customer relationship management (CRM), and decision support systems (OLAP). The issues of choosing the design technology, software tools for project development, building functional and information models in the environment of Business Studio, MS Visio, Elma, AllFusion Modeling Suite and Oracle Designer 10g, as well as the development of technical and operational documentation are highlighted
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Book chapters on the topic "OLAP Recommender"

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Negre, Elsa, Franck Ravat, and Olivier Teste. "OLAP Queries Context-Aware Recommender System." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98812-2_9.

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Giacometti, Arnaud, Patrick Marcel, Elsa Negre, and Arnaud Soulet. "Query Recommendations for OLAP Discovery-Driven Analysis." In Developments in Data Extraction, Management, and Analysis. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2148-0.ch004.

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Recommending database queries is an emerging and promising field of research and is of particular interest in the domain of OLAP systems, where the user is left with the tedious process of navigating large datacubes. In this paper, the authors present a framework for a recommender system for OLAP users that leverages former users’ investigations to enhance discovery-driven analysis. This framework recommends the discoveries detected in former sessions that investigated the same unexpected data as the current session. This task is accomplished by (1) analysing the query log to discover pairs of cells at various levels of detail for which the measure values differ significantly, and (2) analysing a current query to detect if a particular pair of cells for which the measure values differ significantly can be related to what is discovered in the log. This framework is implemented in a system that uses the open source Mondrian server and recommends MDX queries. Preliminary experiments were conducted to assess the quality of the recommendations in terms of precision and recall, as well as the efficiency of their on-line computation.
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Conference papers on the topic "OLAP Recommender"

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Krohn-Grimberghe, Artus, Alexandros Nanopoulos, and Lars Schmidt-Thieme. "Integrating OLAP and recommender systems." In the ACM 13th international workshop. ACM Press, 2010. http://dx.doi.org/10.1145/1871940.1871959.

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