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Books on the topic 'Data-Intensive Systems'

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Published: 11 December 2022
Last updated: 25 January 2023

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1

Wiktorski, Tomasz. Data-intensive Systems. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04603-3.

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2

Armando, Escalante, and SpringerLink (Online service), eds. Handbook of Data Intensive Computing. New York, NY: Springer Science+Business Media, LLC, 2011.

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3

The fourth paradigm: Data-intensive scientific discovery. Redmond, Wash: Microsoft Research, 2009.

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4

Data-intensive computing: Architectures, algorithms, and applications. Cambridge: Cambridge University Press, 2013.

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5

1979-, Pan Jie, and Teng Fei, eds. Cloud-computing: Data-intensive computing and scheduling. Boca Raton: CRC Press, 2012.

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6

Data intensive distributed computing: Challenges and solutions for large-scale information management. Hershey, PA: Information Science Reference, 2012.

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7

International, Workshop on User Interfaces to Data Intensive Systems (2nd 2001 Zurich Switzerland). User Interfaces to Data Intensive Systems: Proceedings : Second International Workshop on User Interfaces to Data Intensive Systems : UIDIS 2001 : 31 May-1 June, 2001, Zurich, Switzerland. Los Alamitos, California: IEEE Computer Society, 2001.

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8

International, Workshop on Interfaces to Database Systems (1999 Edinburgh Scotland). User Interfaces to Data Intensive Systems: 5-6 September 1999, Edinburgh, Scotland : proceedings. Los Alamitos, Calif: IEEE Computer Society, 1999.

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9

IEEE Symposium on Mass Storage Systems. (8th 1987 Tucson, Ariz.). Digest of papers: Eight IEEE Symposium on Mass Storage Systems : emerging solutions for data-intensive applications, May 11-14, 1987, Doubletree Hotel, Tuscon, Arizona. Edited by Friedman Karen, IEEE Computer Society, and Institute of Electrical and Electronics Engineers. Washington, D.C: IEEE Computer Society Press, 1987.

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10

European Research Consortium for Informatics and Mathematics and Association for Computing Machinery. Special Interest Group on Human-Computer Interaction., eds. Proceedings: Second International Workshop on User Interfaces to Data Intensive Systems : UIDIS 2001 : 31 May-1 June 2001, Zurich, Switzerland ; sponsored by European Research Consortium on Informatics and Mathematics, Association of Computing Machinery Special Interest Group on Human-Computer Interaction. Los Alamitos, California: IEEE Computer Society, 2001.

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11

F, Tiako Pierre, ed. Designing software-intensive systems: Methods and principles. Hershey, PA: Information Science Reference, 2008.

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12

IFIP WG 5.2 Workshop on Knowledge Intensive CAD (1st 1995 Helsinki, Finland). Knowledge intensive CAD. London: Chapman & Hall, 1996.

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13

Office, General Accounting. Medicare: Need to overhaul costly payment system for medical equipment and supplies : report to the Special Committee on Aging, U.S. Senate. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 1998.

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14

Furht, Borko, and Armando Escalante. Handbook of Data Intensive Computing. Springer, 2011.

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15

Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions. Springer International Publishing AG, 2023.

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16

Maxim, Bruce R., Ivan Mistrik, Bedir Tekinerdogan, and Matthias Galster. Knowledge Management in the Development of Data-Intensive Systems. Auerbach Publishers, Incorporated, 2021.

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17

Maxim, Bruce R., Ivan Mistrik, Bedir Tekinerdogan, and Matthias Galster. Knowledge Management in the Development of Data-Intensive Systems. Auerbach Publishers, Incorporated, 2021.

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18

Maxim, Bruce R., Ivan Mistrík, Bedir Tekinerdogan, and Matthias Galster. Knowledge Management in the Development of Data-Intensive Systems. Taylor & Francis Group, 2021.

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19

Designing Data-Intensive Web Applications (The Morgan Kaufmann Series in Data Management Systems). Morgan Kaufmann, 2002.

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20

Wiktorski, Tomasz. Data-intensive Systems: Principles and Fundamentals using Hadoop and Spark. Springer, 2019.

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21

Gorton, Ian, and Deborah K. Gracio. Data-Intensive Computing: Architectures, Algorithms, and Applications. Cambridge University Press, 2012.

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22

Gorton, Ian, and Deborah K. Gracio. Data-Intensive Computing: Architectures, Algorithms, and Applications. Cambridge University Press, 2012.

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23

Gorton, Ian, and Deborah K. Gracio. Data-Intensive Computing: Architectures, Algorithms, and Applications. Cambridge University Press, 2012.

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24

Kleppmann, Martin. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. O'Reilly Media, 2017.

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25

Kleppmann, Martin. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. O'Reilly Media, Incorporated, 2017.

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26

Kleppmann, Martin. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. O'Reilly Media, Incorporated, 2017.

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27

Introduction to Computer-Intensive Methods of Data Analysis in Biology. Cambridge University Press, 2006.

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28

Roff, Derek A. Introduction to Computer-Intensive Methods of Data Analysis in Biology. Cambridge University Press, 2006.

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29

(Editor), Norman W. Paton, and Tony Griffiths (Editor), eds. Uidis '99 User Interfaces to Data Intensive Systems: 5-6 September 1999 Edinburgh, Scotland Proceedings. Institute of Electrical & Electronics Enginee, 1999.

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30

Henderson, Daniel A., R. J. Boys, Carole J. Proctor, and Darren J. Wilkinson. Linking systems biology models to data: A stochastic kinetic model of p53 oscillations. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.7.

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This article discusses the use of a stochastic kinetic model to study protein level oscillations in single living cancer cells, using the p53 and Mdm2 proteins as examples. It describes the refinement of a dynamic stochastic process model of the cellular response to DNA damage and compares this model to time course data on the levels of p53 and Mdm2. The article first provides a biological background on p53 and Mdm2 before explaining how the stochastic kinetic model is constructed. It then introduces the stochastic kinetic model and links it to the data and goes on to apply sophisticated MCMC methods to compute posterior distributions. The results demonstrate that it is possible to develop computationally intensive Markov chain Monte Carlo (MCMC) methods for conducting a Bayesian analysis of an intra-cellular stochastic systems biology model using single-cell time course data.
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31

Friedman, Karen. Digest of Papers: Eighth IEEE Symposium on Mass Storage Systems : Emerging Solutions for Data-Intensive Applications May 11-14, 1987 Doubletree Hote. Ieee Computer Society, 1987.

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32

Proceedings: Second International Workshop on User Interfaces to Data Intensive Systems : UIDIS 2001 : 31 May-1 June 2001, Zurich, Switzerland ; sponsored ... Interest Group on Human-Computer Interaction. Ieee Computer Society, 2001.

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33

Hart, Graeme K., and David Pilcher. Severity of illness scoring systems. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0029.

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Clinical outcome comparisons for research and quality assurance require risk adjustment measures validated in the population of interest. There are many scoring systems using intensive care unit (ICU)-specific or administrative data sets, or both. Risk-adjusted ICU and hospital mortality outcome measures may be not granular enough or may be censored before the absolute risk of the studied outcome reaches that of the population at large. Data linkage methods may be used to examine longer-term outcomes. Organ failure scores provide a method for assessing the intra-episode time course of illness and scores using treatment variables may be useful for assessing care requirements. Each adjustment system has specific merits and limitations, which must be understood for appropriate use. Graphical representations of the comparisons facilitate understanding and time-appropriate response to variations in outcome. There are, as yet, no universally-accepted measures for severity of illness and risk adjustment in deteriorating patients outside the ICU.
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34

M, Fiorino, and United States. National Aeronautics and Space Administration., eds. A synoptic-scale overview of the TOGA COARE intensive observing period November 1992-February 1993 based on analyses from U.S. operational global data assimilation systems. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1993.

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35

A synoptic-scale overview of the TOGA COARE intensive observing period November 1992-February 1993 based on analyses from U.S. operational global data assimilation systems. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1993.

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36

M, Fiorino, and United States. National Aeronautics and Space Administration., eds. A synoptic-scale overview of the TOGA COARE intensive observing period November 1992-February 1993 based on analyses from U.S. operational global data assimilation systems. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1993.

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37

A synoptic-scale overview of the TOGA COARE intensive observing period November 1992-February 1993 based on analyses from U.S. operational global data assimilation systems. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1993.

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38

Wunsch, Hannah, and Andrew A. Kramer. The role and limitations of scoring systems. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0028.

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Scoring systems for critically-ill patients provide a measure of the severity of illness of patients admitted to intensive care units (ICUs). They are primarily based on patient characteristics, physiological derangement, and/or clinical assessments. Severity scores themselves allow for risk-adjusting outcomes, but they can also be used to provide a prediction of the overall risk of death, length of stay, or other outcome for critically ill patients. This allows for comparison of outcomes between different cohorts of patients or between observed and predicted ICU performance. There are a number of general ICU scoring systems that are in use. All scoring systems have limitations. Future scoring systems may include prediction of longer-term outcomes, and assimilation of granular data temporally and at the molecular level that could result in more personalized severity scores to help guide individual care decisions.
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39

Architecting Software Intensive Systems: A Practitioners Guide. AUERBACH, 2008.

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40

Knowledge Intensive CAD - Volume 2. Springer, 1997.

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41

Hilgurt, S. Ya, and O. A. Chemerys. Reconfigurable signature-based information security tools of computer systems. PH “Akademperiodyka”, 2022. http://dx.doi.org/10.15407/akademperiodyka.458.297.

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The book is devoted to the research and development of methods for combining computational structures for reconfigurable signature-based information protection tools for computer systems and networks in order to increase their efficiency. Network security tools based, among others, on such AI-based approaches as deep neural networking, despite the great progress shown in recent years, still suffer from nonzero recognition error probability. Even a low probability of such an error in a critical infrastructure can be disastrous. Therefore, signature-based recognition methods with their theoretically exact matching feature are still relevant when creating information security systems such as network intrusion detection systems, antivirus, anti-spam, and wormcontainment systems. The real time multi-pattern string matching task has been a major performance bottleneck in such systems. To speed up the recognition process, developers use a reconfigurable hardware platform based on FPGA devices. Such platform provides almost software flexibility and near-ASIC performance. The most important component of a signature-based information security system in terms of efficiency is the recognition module, in which the multipattern matching task is directly solved. It must not only check each byte of input data at speeds of tens and hundreds of gigabits/sec against hundreds of thousand or even millions patterns of signature database, but also change its structure every time a new signature appears or the operating conditions of the protected system change. As a result of the analysis of numerous examples of the development of reconfigurable information security systems, three most promising approaches to the construction of hardware circuits of recognition modules were identified, namely, content-addressable memory based on digital comparators, Bloom filter and Aho–Corasick finite automata. A method for fast quantification of components of recognition module and the entire system was proposed. The method makes it possible to exclude resource-intensive procedures for synthesizing digital circuits on FPGAs when building complex reconfigurable information security systems and their components. To improve the efficiency of the systems under study, structural-level combinational methods are proposed, which allow combining into single recognition device several matching schemes built on different approaches and their modifications, in such a way that their advantages are enhanced and disadvantages are eliminated. In order to achieve the maximum efficiency of combining methods, optimization methods are used. The methods of: parallel combining, sequential cascading and vertical junction have been formulated and investigated. The principle of multi-level combining of combining methods is also considered and researched. Algorithms for the implementation of the proposed combining methods have been developed. Software has been created that allows to conduct experiments with the developed methods and tools. Quantitative estimates are obtained for increasing the efficiency of constructing recognition modules as a result of using combination methods. The issue of optimization of reconfigurable devices presented in hardware description languages is considered. A modification of the method of affine transformations, which allows parallelizing such cycles that cannot be optimized by other methods, was presented. In order to facilitate the practical application of the developed methods and tools, a web service using high-performance computer technologies of grid and cloud computing was considered. The proposed methods to increase efficiency of matching procedure can also be used to solve important problems in other fields of science as data mining, analysis of DNA molecules, etc. Keywords: information security, signature, multi-pattern matching, FPGA, structural combining, efficiency, optimization, hardware description language.
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42

Palmer, Carole L., and Katrina Fenlon. Information Research on Interdisciplinarity. Edited by Robert Frodeman. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198733522.013.35.

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In library and information science (LIS), research on interdisciplinarity is concerned with optimizing information resources, systems, and services for researchers working across disciplinary boundaries. Research libraries are responding to the rapid rise in interdisciplinary scholarship and the advances in digital content, technologies, and infrastructure that accompany an emerging data-intensive research paradigm. This chapter considers two key areas in LIS that inform current practice in research libraries—bibliometrics and information practices research. Bibliometric approaches investigate the patterns and flows of information among disciplines, and information practices research examines the activities and materials involved in the conduct of interdisciplinary work. As technical advances continue to solve problems in navigation and retrieval of information across disciplinary boundaries, the greatest challenge will be to assure the meaning and validity of newly created interdisciplinary knowledge through information systems that can sustain the increasingly long and mutable information paths back to our disciplinary intellectual foundations.
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43

Rau, Jochen. Thermodynamic Limit. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199595068.003.0005.

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When one describes systems which are homogeneous, stable, and macroscopic in size, it no longer matters whether macroscopic data are given as sharp constraints or as expectation values. This is the thermodynamic limit. The behaviour of matter in this limit is governed by four laws, pertaining respectively to the properties of equilibrium (zeroth law), energy (first law), entropy (second law), and the ground state (third law). This chapter provides the mathematical criteria for homogeneity and stability and explores their respective consequences. In particular, it discusses the distinction between extensive and intensive variables, as well as the Gibbs–Duhem relation. It introduces the three thermodynamic ensembles—microcanonical, canonical, and grand canonical—and shows their equivalence in the thermodynamic limit. Finally, this chapter shows how, in the thermodynamic limit, the four laws of thermodynamics arise naturally within the statistical framework.
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44

Halpern, Neil A. Design of the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0001.

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This chapter on intensive care unit (ICU) design looks at the ICU from three perspectives—concept to occupancy, the patient room, and supportive services, and advanced informatics. The design process is complex and time-consuming, and relies upon a design team composed of the main users, architects, and hospital administrative representatives; they must develop a vision for the new unit, which includes its purpose, bed number, staffing, workflow and healing environment. The team must then balance innovation with practicality, disparate technologies with standardization and timely purchase, and desires for the best of everything with physical, space, and fiscal limitations. The ICU patient room is the core of the ICU patient, family member, and staff experiences and should be similarly designed and equipped. Supportive spaces fully integrated with the patient rooms and hospital logistic areas and systems help optimize throughput. Informatics systems that electronically integrate the patient room with all aspects of care should be deployed to intelligently utilize and smartly present and display data, manage alarms, monitor the ICU environment, develop virtual device communities, provide real time locating systems, and address local or remote telemedicine requirements.
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45

Slingenbergh, Jan, Giuliano Cecchi, and Marjan Leneman. Human activities and disease transmission: the agriculture case. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789833.003.0017.

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The time is right to fight poverty, food insecurity and disease. The nexus of agriculture, development and health is presented, highlighting global health security threats of animal origin. Food and Agriculture Organization data illustrate how dynamic farming landscapes modulate livestock disease mosaics. In Latin America, lowland pressures facilitate successful transformation from extensive to intensive agricultural production. In South Asia, smallholders produce the bulk of milk in Asia, despite high disease prevalence and low productivity levels. Disease control improves food security and human and animal health and reduces land and water resources use. A One Health approach is called for to address the health of humans, animals and the environment, as part of sustainable development efforts. The perspective varies by location. Ecology, farming systems, economics and markets differ among world regions, as do the challenges. Despite emerging health security threats, progress has been made toward attaining the 2030 sustainable development goals.
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46

Tejerina, Eva, and Andrés Esteban. Post-mortem examination in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0391.

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Autopsy has long been regarded as a valuable and reliable tool to improve quality of medical care by monitoring diagnostic accuracy and treatment of the critically-ill patients. However, post-mortem examination rates have fallen worldwide during the past decades. Unexpected findings at autopsy contribute to the increasing pool of medical knowledge and may allow the development of strategies for the early detection of diagnoses, leading to better patient care. Several studies have shown that major discrepancies are frequent, and in 5–40% of all hospitalized patients, and in 7–32% of adult intensive care patients a treatable condition that might have altered outcome, had it been recognized, is identified at post-mortem examination. Despite technological improvements in medicine, the percentage of missed diagnoses had not changed over time. Autopsy provides a ‘gold standard’ to assess the accuracy of diagnostic tests and also offers relevant information for the advance of medical knowledge and the description of new disease entities. The health care system as a whole can benefit enormously from autopsy data, the autopsy providing information unavailable by any other method, and should be considered in every patient who dies in the intensive care unit.
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47

Chadwick, Andrew. The Political Information Cycle. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190696726.003.0005.

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Following chapter 3, the emphasis shifts toward deeper exploration of key events and processes that reveal the hybrid media system in flow. Chapter 4 proposes a new approach to political news making based on what is termed the political information cycle. The chapter examines the mediation of two extraordinary news events during the 2010 British general election campaign: the Bullygate scandal and Britain's first ever live televised prime ministerial debate. It shows how political information cycles are built on news-making assemblages that combine older and newer media logics. Using original data gathered during two intensive periods of live qualitative research, the chapter reveals how the hybrid mediation of politics now presents new opportunities for non-elite actors to mobilize and enter news production through timely interventions and sometimes direct, one-to-one, micro-level interactions with professional journalists.
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48

Jacquemyn, Yves, and Anneke Kwee. Antenatal and intrapartum fetal evaluation. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198713333.003.0006.

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Antenatal and intrapartum fetal monitoring aim to identify the beginning of the process of fetal hypoxia before irreversible fetal damage has taken place. Fetal movement counting by the mother has not been reported to be of any benefit. The biophysical profile score, incorporating ultrasound and fetal heart rate monitoring, has not been proven to reduce perinatal mortality in randomized trials. Doppler ultrasound allows the exploration of the perfusion of different fetal organ systems and provides data on possible hypoxia and fetal anaemia. Maternal uterine artery Doppler can be used to select women with a high risk for intrauterine growth restriction and pre-eclampsia but does not directly provide information on fetal status. Umbilical artery Doppler has been shown to reduce perinatal mortality significantly in high-risk pregnancies (but not in low-risk women). Adding middle cerebral artery Doppler to umbilical artery Doppler does not increase accuracy for detecting adverse perinatal outcome. Ductus venosus Doppler demonstrates moderate value in diagnosing fetal compromise; it is not known whether its use adds any value to umbilical artery Doppler alone. Cardiotocography (CTG) reflects the interaction between the fetal brain and peripheral cardiovascular system. Prelabour routine use of CTG in low-risk pregnancies has not been proven to improve outcome; computerized CTG significantly reduces perinatal mortality in high-risk pregnancies. Monitoring the fetus during labour with intermittent auscultation has not been compared to no monitoring at all; when compared with CTG no difference in perinatal mortality or cerebral palsy has been noted. CTG does lower neonatal seizures and is accompanied by a statistically non-significant rise in caesarean delivery. Fetal blood sampling to detect fetal pH and base deficit lowers caesarean delivery rate and neonatal convulsions when used in adjunct to CTG. Determination of fetal scalp lactate has not been shown to have an effect on neonatal outcome or on the rate of instrumental deliveries but is less often hampered by technical failure than fetal scalp pH. Analysis of the ST segment of the fetal ECG (STAN®) in combination with CTG during labour results in fewer vaginal operative deliveries, less need for neonatal intensive care, and less use of fetal blood sampling during labour, without a change in fetal metabolic acidosis when compared to CTG alone.
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49

Lucangelo, Umberto, and Massimo Ferluga. Pulmonary mechanical dysfunction in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0084.

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In intensive care units practitioners are confronted every day with mechanically-ventilated patients and should be able to sort out from all the data available from modern ventilators to tailored patient ventilatory strategy. Real-time visualization of pressure, flow and tidal volume provide valuable information on the respiratory system, to optimize ventilatory support and avoiding complications associated with mechanical ventilation. Early determination of patient–ventilator asynchrony, air-trapping, and variation in respiratory parameters is important during mechanical ventilation. A correct evaluation of data becomes mandatory to avoid a prolonged need for ventilatory support. During dynamic hyperinflation the lungs do not have time to reach the functional residual capacity at the end of expiration, increasing the work of breathing and promoting patient-ventilator asynchrony. Expiratory capnogram provides qualitative information on the waveform patterns associated with mechanical ventilation and quantitative estimation of expired CO2. The concept of dead space accounts for those lung areas that are ventilated but not perfused. Calculations derived from volumetric capnography are useful indicators of pulmonary embolism. Moreover, alveolar dead space is increased in acute lung injury and its value decreased in case of positive end-expiratory pressure (PEEP)-induced recruitment, whereas PEEP-induced overdistension tends to increment alveolar dead space.
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50

Medicare: Shared systems policy inadequately planned and implemented : report to the Chairman, Subcommittee on Oversight and Investigations, Committee on Energy and Commerce, House of Representatives. Washington, D.C: The Office, 1992.

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