Frequent Pattern Mining


Author: Charu C. Aggarwal,Jiawei Han
Publisher: Springer
ISBN: 3319078216
Category: Computers
Page: 471
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This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.

Data Mining, Southeast Asia Edition


Author: Jiawei Han,Jian Pei,Micheline Kamber
Publisher: Elsevier
ISBN: 9780080475585
Category: Computers
Page: 800
View: 9846

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Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects Complete classroom support for instructors at www.mkp.com/datamining2e companion site

Next Generation of Data Mining


Author: Hillol Kargupta,Jiawei Han,Philip S. Yu,Rajeev Motwani,Vipin Kumar
Publisher: CRC Press
ISBN: 9781420085877
Category: Computers
Page: 601
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Drawn from the US National Science Foundation’s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field. Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms. The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines.

Advanced Data Mining and Applications

4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings
Author: Changjie Tang,Charles X. Ling,Xiaofang Zhou
Publisher: Springer Science & Business Media
ISBN: 3540881913
Category: Computers
Page: 759
View: 7258

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This book constitutes the refereed proceedings of the 4th International Conference on Advanced Data Mining and Applications, ADMA 2008, held in Chengdu, China, in October 2008. The 35 revised full papers and 43 revised short papers presented together with the abstract of 2 keynote lectures were carefully reviewed and selected from 304 submissions. The papers focus on advancements in data mining and peculiarities and challenges of real world applications using data mining and feature original research results in data mining, spanning applications, algorithms, software and systems, and different applied disciplines with potential in data mining.

Data Mining in Bioinformatics


Author: Jason T. L. Wang,Mohammed J. Zaki,Hannu Toivonen,Dennis Shasha
Publisher: Springer Science & Business Media
ISBN: 1846280591
Category: Computers
Page: 340
View: 3590

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Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.

Advances in Knowledge Discovery and Data Mining

13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings
Author: Thanaruk Theeramunkong,Boonserm Kijsirikul,Nick Cercone,Tu-Bao Ho
Publisher: Springer Science & Business Media
ISBN: 3642013066
Category: Computers
Page: 1076
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This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 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, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

Advanced Data Mining and Applications

6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings
Author: Longbing Cao,Yong Feng,Jiang Zhong
Publisher: Springer
ISBN: 3642173160
Category: Computers
Page: 628
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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.

Formale Begriffsanalyse

Mathematische Grundlagen
Author: Bernhard Ganter,Rudolf Wille
Publisher: Springer-Verlag
ISBN: 3642614507
Category: Computers
Page: 286
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Dieses erste Lehrbuch zur Formalen Begriffsanalyse gibt eine systematische Darstellung der mathematischen Grundlagen und ihrer Verbindung zu Anwendungen in der Informatik, insbesondere in der Datenanalyse und Wissensverarbeitung. Das Buch vermittelt vor allem Methoden der graphischen Darstellung von Begriffssystemen, die sich in der Wissenskommunikation bestens bewährt haben. Theorie und graphische Darstellung werden dabei eng miteinander verknüpft. Die mathematischen Grundlagen werden vollständig abgehandelt und durch zahlreiche Beispiele anschaulich gemacht. Da zur Wissensverarbeitung immer stärker der Computer genutzt wird, gewinnen formale Methoden begrifflicher Analyse überall an Bedeutung. Das Buch macht die dafür grundlegende Theorie in kompakter Form zugänglich.

Advances in Knowledge Discovery and Data Mining

9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings
Author: Tu Bao Ho,David Cheung,Huan Liu
Publisher: Springer Science & Business Media
ISBN: 3540260765
Category: Computers
Page: 864
View: 7236

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This book constitutes the refereed proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2005, held in Hanoi, Vietnam, in May 2005. The 48 revised full papers and 49 revised short papers presented together with abstracts or extended abstracts of 3 invited talks were carefully reviewed and selected from 327 submissions. The papers are organized in topical sections on theoretical foundations, association rules, biomedical domains, classification and ranking, clustering, dynamic data mining, graphical model discovery, high dimensional data, integration of data warehousing, knowledge management, machine learning, novel algorithms, spatial data, temporal data, and text and Web data mining.

Advances in Knowledge Discovery and Data Mining

17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings
Author: Jian Pei,Vincent S. Tseng,Longbing Cao,Hiroshi Motoda,Guandong Xu
Publisher: Springer
ISBN: 3642374530
Category: Computers
Page: 610
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The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

Data Mining: Concepts and Techniques


Author: Jiawei Han,Jian Pei,Micheline Kamber
Publisher: Elsevier
ISBN: 9780123814807
Category: Computers
Page: 744
View: 998

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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Advanced Data Mining and Applications

Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings
Author: Xue Li,Osmar R. Zaiane,Zhanhuai Li
Publisher: Springer Science & Business Media
ISBN: 3540370250
Category: Computers
Page: 1110
View: 9722

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Here are the proceedings of the 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China, August 2006. The book presents 41 revised full papers and 74 revised short papers together with 4 invited papers. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, and more.

Emerging Technologies in Knowledge Discovery and Data Mining

PAKDD 2007 International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers
Author: Takashi Washio,Zhi-Hua Zhou,Joshua Zhexue Huang,Xiaohua (Tony) Hu,Jinyan Li,Chao Xie,Jieyue He,Deqing Zou,Kuan-Ching Li,Mario M. Freire
Publisher: Springer Science & Business Media
ISBN: 354077016X
Category: Computers
Page: 678
View: 1890

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This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.

Learning Data Mining with R


Author: Bater Makhabel
Publisher: Packt Publishing Ltd
ISBN: 178398211X
Category: Computers
Page: 314
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This book is intended for the budding data scientist or quantitative analyst with only a basic exposure to R and statistics. This book assumes familiarity with only the very basics of R, such as the main data types, simple functions, and how to move data around. No prior experience with data mining packages is necessary; however, you should have a basic understanding of data mining concepts and processes.

Data Mining and Knowledge Discovery Handbook


Author: Oded Maimon,Lior Rokach
Publisher: Springer Science & Business Media
ISBN: 038725465X
Category: Computers
Page: 1383
View: 1405

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Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Database and Expert Systems Applications

14th International Conference, DEXA 2003, Prague, Czech Republic, September 1-5, 2003, Proceedings
Author: Vladimir Marik,Werner Retschitzegger,Olga Stepankova
Publisher: Springer Science & Business Media
ISBN: 9783540408062
Category: Business & Economics
Page: 945
View: 3106

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This book constitutes the refereed proceedings of the 14th International Conference on Database and Expert Systems Applcations, DEXA 2003, held in Prague, Czech Republic, in September 2003. The 91 revised full papers presented together with an invited paper and a position paper were carefully reviewed and selected from 236 submissions. The papers are organized in topical sections on XML, data modeling, spatial database systems, mobile computing, transactions, bioinformatics, information retrieval, multimedia databases, Web applications, ontologies, object-oriented databases, query optimization, workflow systems, knowledge engineering, and security.