Advances In Distributed And Parallel Knowledge Discovery

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Advances in Distributed and Parallel Knowledge Discovery

Hillol Kargupta,Philip Chan
Advances in Distributed and Parallel Knowledge Discovery Book PDF

Author : Hillol Kargupta,Philip Chan
Publisher : AAAI Press
Page : 504 pages
File Size : 45,6 Mb
Release : 2000
Category : Computers
ISBN : UOM:39015049483111

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Advances in Distributed and Parallel Knowledge Discovery by Hillol Kargupta,Philip Chan Pdf

This book presents introductions to DKD and PKD, extensive reviews of the field, and state-of-the-art techniques. Foreword by Vipin Kumar Knowledge discovery and data mining (KDD) deals with the problem of extracting interesting associations, classifiers, clusters, and other patterns from data. The emergence of network-based distributed computing environments has introduced an important new dimension to this problem--distributed sources of data. Traditional centralized KDD typically requires central aggregation of distributed data, which may not always be feasible because of limited network bandwidth, security concerns, scalability problems, and other practical issues. Distributed knowledge discovery (DKD) works with the merger of communication and computation by analyzing data in a distributed fashion. This technology is particularly useful for large heterogeneous distributed environments such as the Internet, intranets, mobile computing environments, and sensor-networks.When the data sets are large, scaling up the speed of the KDD process is crucial. Parallel knowledge discovery (PKD) techniques addresses this problem by using high-performance multiprocessor machines. This book presents introductions to DKD and PKD, extensive reviews of the field, and state-of-the-art techniques. Contributors Rakesh Agrawal, Khaled AlSabti, Stuart Bailey, Philip Chan, David Cheung, Vincent Cho, Joydeep Ghosh, Robert Grossman, Yi-ke Guo, John Hale, John Hall, Daryl Hershberger, Ching-Tien Ho, Erik Johnson, Chris Jones, Chandrika Kamath, Hillol Kargupta, Charles Lo, Balinder Malhi, Ron Musick, Vincent Ng, Byung-Hoon Park, Srinivasan Parthasarathy, Andreas Prodromidis, Foster Provost, Jian Pun, Ashok Ramu, Sanjay Ranka, Mahesh Sreenivas, Salvatore Stolfo, Ramesh Subramonian, Janjao Sutiwaraphun, Kagan Tummer, Andrei Turinsky, Beat Wüthrich, Mohammed Zaki, Joshua Zhang

Data Mining and Knowledge Discovery Handbook

Oded Maimon,Lior Rokach
Data Mining and Knowledge Discovery Handbook Book PDF

Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1269 pages
File Size : 51,5 Mb
Release : 2010-09-10
Category : Computers
ISBN : 9780387098234

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Data Mining and Knowledge Discovery Handbook by Oded Maimon,Lior Rokach Pdf

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Handbook of Research on Geographic Information Systems Applications and Advancements

Faiz, Sami,Mahmoudi, Khaoula
Handbook of Research on Geographic Information Systems Applications and Advancements Book PDF

Author : Faiz, Sami,Mahmoudi, Khaoula
Publisher : IGI Global
Page : 650 pages
File Size : 45,6 Mb
Release : 2016-10-21
Category : Science
ISBN : 9781522509387

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Handbook of Research on Geographic Information Systems Applications and Advancements by Faiz, Sami,Mahmoudi, Khaoula Pdf

The proper management of geographic data can provide assistance to a number of different sectors within society. As such, it is imperative to continue advancing research for spatial data analysis. The Handbook of Research on Geographic Information Systems Applications and Advancements presents a thorough overview of the latest developments in effective management techniques for collecting, processing, analyzing, and utilizing geographical data and information. Highlighting theoretical frameworks and relevant applications, this book is an ideal reference source for researchers, academics, professionals, and students actively involved in the field of geographic information systems.

Advanced Methods for Knowledge Discovery from Complex Data

Ujjwal Maulik,Lawrence B. Holder,Diane J. Cook
Advanced Methods for Knowledge Discovery from Complex Data Book PDF

Author : Ujjwal Maulik,Lawrence B. Holder,Diane J. Cook
Publisher : Springer Science & Business Media
Page : 375 pages
File Size : 46,9 Mb
Release : 2006-05-06
Category : Computers
ISBN : 9781846282843

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Advanced Methods for Knowledge Discovery from Complex Data by Ujjwal Maulik,Lawrence B. Holder,Diane J. Cook Pdf

The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neural networks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the following chapters.

Advances in Knowledge Discovery and Data Mining

Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan
Publisher : Springer Nature
Page : 906 pages
File Size : 46,5 Mb
Release : 2020-05-08
Category : Computers
ISBN : 9783030474263

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Advances in Knowledge Discovery and Data Mining by Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan Pdf

The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.

On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops

Zahir Tari,Angelo Corsaro
On the Move to Meaningful Internet Systems 2004 OTM 2004 Workshops Book PDF

Author : Zahir Tari,Angelo Corsaro
Publisher : Springer
Page : 888 pages
File Size : 47,6 Mb
Release : 2004-10-14
Category : Computers
ISBN : 9783540304708

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On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops by Zahir Tari,Angelo Corsaro Pdf

A special mention for 2004 is in order for the new Doctoral Symposium Workshop where three young postdoc researchers organized an original setup and formula to bring PhD students together and allow them to submit their research proposals for selection. A limited number of the submissions and their approaches were independently evaluated by a panel of senior experts at the conference, and presented by the students in front of a wider audience. These students also got free access to all other parts of the OTM program, and only paid a heavily discounted fee for the Doctoral Symposium itself. (In fact their attendance was largely sponsored by the other participants!) If evaluated as successful, it is the intention of the General Chairs to expand this model in future editions of the OTM conferences and so draw in an audience of young researchers to the OnTheMove forum. All three main conferences and the associated workshops share the d- tributed aspects of modern computing systems, and the resulting applicati- pull created by the Internet and the so-called Semantic Web. For DOA 2004, the primary emphasis stayed on the distributed object infrastructure; for ODBASE 2004, it was the knowledge bases and methods required for enabling the use of formalsemantics;andforCoopIS2004themaintopicwastheinteractionofsuch technologies and methods with management issues, such as occurs in networked organizations. These subject areas naturally overlap and many submissions in factalsotreatenvisagedmutualimpactsamongthem.

On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops

R. Meersman
On the Move to Meaningful Internet Systems 2004 OTM 2004 Workshops Book PDF

Author : R. Meersman
Publisher : Springer Science & Business Media
Page : 905 pages
File Size : 51,6 Mb
Release : 2004-10-14
Category : Computers
ISBN : 9783540236641

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On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops by R. Meersman Pdf

This book constitutes the joint refereed proceedings of seven international workshops held as part of OTM 2004 in Agia Napa, Cyprus in October 2004. The 73 revised papers presented together with 31 abstracts of posters from the OTM main conferences were carefully reviewed and selected from more than 150 submissions. In accordance with the 7 workshops, the papers are organized in topical sections on grid computing and its applications to data analysis; Java technologies for real-time and embedded systems; modeling inter-organizational systems; regulatory ontologies; ontologies, semantics and e-learning; PhD symposium; and interoperability.

Applied Parallel Computing: Advanced Scientific Computing

Juha Fagerholm,Juha Haataja,Jari Järvinen,Mikko Lyly,Peter Raback,Ville Savolainen
Applied Parallel Computing Advanced Scientific Computing Book PDF

Author : Juha Fagerholm,Juha Haataja,Jari Järvinen,Mikko Lyly,Peter Raback,Ville Savolainen
Publisher : Springer
Page : 614 pages
File Size : 51,8 Mb
Release : 2003-08-03
Category : Computers
ISBN : 9783540480518

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Applied Parallel Computing: Advanced Scientific Computing by Juha Fagerholm,Juha Haataja,Jari Järvinen,Mikko Lyly,Peter Raback,Ville Savolainen Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Applied Parallel Computing, PARA 2002, held in Espoo, Finland, in June 2002. The 50 revised full papers presented together with nine keynote lectures were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on data mining and knowledge discovery, parallel program development, practical experience in parallel computing, computer science, numerical algorithms with hierarchical memory optimization, numerical methods and algorithms, cluster computing, grid and network technologies, and physics and applications.

Knowledge Discovery in Multiple Databases

Shichao Zhang,Chengqi Zhang,Xindong Wu
Knowledge Discovery in Multiple Databases Book PDF

Author : Shichao Zhang,Chengqi Zhang,Xindong Wu
Publisher : Springer Science & Business Media
Page : 233 pages
File Size : 50,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9780857293886

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Knowledge Discovery in Multiple Databases by Shichao Zhang,Chengqi Zhang,Xindong Wu Pdf

Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning, and anyone else who is interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might also involve knowledge discovery in databases and data mining.

Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications

Management Association, Information Resources
Information Retrieval and Management Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2336 pages
File Size : 48,6 Mb
Release : 2018-01-05
Category : Computers
ISBN : 9781522551928

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Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.

Advances in Knowledge Discovery and Data Mining

Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan
Publisher : Springer Nature
Page : 936 pages
File Size : 52,8 Mb
Release : 2020-05-08
Category : Computers
ISBN : 9783030474362

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Advances in Knowledge Discovery and Data Mining by Hady W. Lauw,Raymond Chi-Wing Wong,Alexandros Ntoulas,Ee-Peng Lim,See-Kiong Ng,Sinno Jialin Pan Pdf

The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

Evangelos Triantaphyllou,Giovanni Felici
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques Book PDF

Author : Evangelos Triantaphyllou,Giovanni Felici
Publisher : Springer Science & Business Media
Page : 784 pages
File Size : 43,5 Mb
Release : 2006-09-10
Category : Computers
ISBN : 9780387342962

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Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques by Evangelos Triantaphyllou,Giovanni Felici Pdf

This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications. Most theoretical developments are accompanied by extensive empirical analysis, offering a deep insight into both theoretical and practical aspects of the subject. The book presents the combined research experiences of 40 expert contributors of world renown.

Learning Classifier Systems in Data Mining

Larry Bull,Ester Bernadó-Mansilla,John Holmes
Learning Classifier Systems in Data Mining Book PDF

Author : Larry Bull,Ester Bernadó-Mansilla,John Holmes
Publisher : Springer
Page : 230 pages
File Size : 46,7 Mb
Release : 2008-07-01
Category : Technology & Engineering
ISBN : 9783540789796

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Learning Classifier Systems in Data Mining by Larry Bull,Ester Bernadó-Mansilla,John Holmes Pdf

Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains. The first contribution is arranged as follows: Firstly, the main forms of LCS are described in some detail. A number of historical uses of LCS in data mining are then reviewed before an overview of the rest of the volume is presented. The rest of this book describes recent research on the use of LCS in the main areas of machine learning data mining: classification, clustering, time-series and numerical prediction, feature selection, ensembles, and knowledge discovery.

Advanced Data Mining and Applications

Longbing Cao,Yong Feng,Jiang Zhong
Advanced Data Mining and Applications Book PDF

Author : Longbing Cao,Yong Feng,Jiang Zhong
Publisher : Springer
Page : 576 pages
File Size : 51,6 Mb
Release : 2010-11-18
Category : Computers
ISBN : 9783642173134

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Advanced Data Mining and Applications by Longbing Cao,Yong Feng,Jiang Zhong Pdf

With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects ofdata and to help peoplemakeinformed,sensible,and better decisions. At present, growing attention has been paid to the study, development, and application of data mining. As a result there is an urgent need for sophisticated techniques and toolsthat can handle new ?elds of data mining, e. g. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The 6th International Conference on Advanced Data Mining and Appli- tions(ADMA2010)aimedtobringtogethertheexpertsondataminingthrou- out the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. The conference attracted 361 online submissions from 34 di?erent countries and areas. All full papers were peer reviewed by at least three members of the Program Comm- tee composed of international experts in data mining ?elds. A total number of 118 papers were accepted for the conference. Amongst them, 63 papers were selected as regular papers and 55 papers were selected as short papers.

Algorithmic Learning Theory

Sanjay Jain,Hans Ulrich Simon,Etsuji Tomita
Algorithmic Learning Theory Book PDF

Author : Sanjay Jain,Hans Ulrich Simon,Etsuji Tomita
Publisher : Springer
Page : 491 pages
File Size : 51,6 Mb
Release : 2005-10-11
Category : Computers
ISBN : 9783540316961

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Algorithmic Learning Theory by Sanjay Jain,Hans Ulrich Simon,Etsuji Tomita Pdf

This book constitutes the refereed proceedings of the 16th International Conference on Algorithmic Learning Theory, ALT 2005, held in Singapore in October 2005. The 30 revised full papers presented together with 5 invited papers and an introduction by the editors were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on kernel-based learning, bayesian and statistical models, PAilearning, query-learning, inductive inference, language learning, learning and logic, learning from expert advice, online learning, defensive forecasting, and teaching.