Periodic Pattern Mining

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Periodic Pattern Mining

Author : R. Uday Kiran
Publisher : Springer Nature
ISBN 13 : 9811639647
Total Pages : 263 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Periodic Pattern Mining by : R. Uday Kiran

Download or read book Periodic Pattern Mining written by R. Uday Kiran and published by Springer Nature. This book was released on 2021-10-29 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases. One of the major applications of periodic pattern mining is the analysis of customer transaction databases to discover sets of items that have been regularly purchased by customers. Discovering such patterns has several implications for understanding the behavior of customers. Since the first work on periodic pattern mining, numerous studies have been published and great advances have been made in this field. The book consists of three main parts: introduction, algorithms, and applications. The first chapter is an introduction to pattern mining and periodic pattern mining. The concepts of periodicity, periodic support, search space exploration techniques, and pruning strategies are discussed. The main types of algorithms are also presented such as periodic-frequent pattern growth, partial periodic pattern-growth, and periodic high-utility itemset mining algorithm. Challenges and research opportunities are reviewed. The chapters that follow present state-of-the-art techniques for discovering periodic patterns in (1) transactional databases, (2) temporal databases, (3) quantitative temporal databases, and (4) big data. Then, the theory on concise representations of periodic patterns is presented, as well as hiding sensitive information using privacy-preserving data mining techniques. The book concludes with several applications of periodic pattern mining, including applications in air pollution data analytics, accident data analytics, and traffic congestion analytics.

Advances in Knowledge Discovery and Data Mining

Author : Thanaruk Theeramunkong
Publisher : Springer Science & Business Media
ISBN 13 : 3642013066
Total Pages : 1098 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Thanaruk Theeramunkong

Download or read book Advances in Knowledge Discovery and Data Mining written by Thanaruk Theeramunkong and published by Springer Science & Business Media. This book was released on 2009-04-20 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Frequent Pattern Mining

Author : Charu C. Aggarwal
Publisher : Springer
ISBN 13 : 3319078216
Total Pages : 471 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Frequent Pattern Mining by : Charu C. Aggarwal

Download or read book Frequent Pattern Mining written by Charu C. Aggarwal and published by Springer. This book was released on 2014-08-29 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mining Sequential Patterns from Large Data Sets

Author : Wei Wang
Publisher : Springer Science & Business Media
ISBN 13 : 0387242473
Total Pages : 163 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Mining Sequential Patterns from Large Data Sets by : Wei Wang

Download or read book Mining Sequential Patterns from Large Data Sets written by Wei Wang and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied models to capture such characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. In this book, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only study the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns. The objective of this book is to provide computer scientists and domain - perts such as life scientists with a set of tools in analyzing and understanding the nature of various sequences by : (1) identifying the specific model(s) of - quential patterns that are most suitable, and (2) providing an efficient algorithm for mining these patterns. Chapter 1 INTRODUCTION Data Mining is the process of extracting implicit knowledge and discovery of interesting characteristics and patterns that are not explicitly represented in the databases. The techniques can play an important role in understanding data and in capturing intrinsic relationships among data instances. Data mining has been an active research area in the past decade and has been proved to be very useful.

High-Utility Pattern Mining

Author : Philippe Fournier-Viger
Publisher : Springer
ISBN 13 : 3030049213
Total Pages : 337 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis High-Utility Pattern Mining by : Philippe Fournier-Viger

Download or read book High-Utility Pattern Mining written by Philippe Fournier-Viger and published by Springer. This book was released on 2019-01-18 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data. The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.

Modern Approaches for Intelligent Information and Database Systems

Author : Andrzej Sieminski
Publisher : Springer
ISBN 13 : 3319760815
Total Pages : 521 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Modern Approaches for Intelligent Information and Database Systems by : Andrzej Sieminski

Download or read book Modern Approaches for Intelligent Information and Database Systems written by Andrzej Sieminski and published by Springer. This book was released on 2018-02-23 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NLP), decision support systems, Internet of things (IoT), computer vision, and tools and techniques for Intelligent Information Systems. They are extended versions of papers presented at the ACIIDS 2018 conference (10th Asian Conference on Intelligent Information and Database Systems), which was held in Dong Hoi City, Vietnam on 19–21 March 2018. What all researchers and students of computer science need is a state-of-the-art report on the latest trends in their respective areas of interest. Over the years, researchers have proposed increasingly complex theoretical models, which provide the theoretical basis for numerous applications. The applications, in turn, have a profound influence on virtually every aspect of human activities, while also allowing us to validate the underlying theoretical concepts.

Data Mining, Southeast Asia Edition

Author : Jiawei Han
Publisher : Elsevier
ISBN 13 : 9780080475585
Total Pages : 800 pages
Book Rating : 4.4/5 (755 download)

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Book Synopsis Data Mining, Southeast Asia Edition by : Jiawei Han

Download or read book Data Mining, Southeast Asia Edition written by Jiawei Han and published by Elsevier. This book was released on 2006-04-06 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Temporal and Spatio-Temporal Data Mining

Author : Hsu, Wynne
Publisher : IGI Global
ISBN 13 : 1599043890
Total Pages : 292 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Temporal and Spatio-Temporal Data Mining by : Hsu, Wynne

Download or read book Temporal and Spatio-Temporal Data Mining written by Hsu, Wynne and published by IGI Global. This book was released on 2007-07-31 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents probable solutions when discovering the spatial sequence patterns by incorporating the information into the sequence of patterns, and introduces new classes of spatial sequence patterns, called flow and generalized spatio-temporal patterns, addressing different scenarios in spatio-temporal data by modeling them as graphs, providing a comprehensive synopsis on two successful partition-based algorithms designed by the authors"--Provided by publisher.

Sequence Data Mining

Author : Guozhu Dong
Publisher : Springer Science & Business Media
ISBN 13 : 0387699376
Total Pages : 150 pages
Book Rating : 4.3/5 (876 download)

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Book Synopsis Sequence Data Mining by : Guozhu Dong

Download or read book Sequence Data Mining written by Guozhu Dong and published by Springer Science & Business Media. This book was released on 2007-10-31 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place.

Advanced Data Mining and Applications

Author : Xiaochun Yang
Publisher : Springer Nature
ISBN 13 : 3031466616
Total Pages : 848 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Advanced Data Mining and Applications by : Xiaochun Yang

Download or read book Advanced Data Mining and Applications written by Xiaochun Yang and published by Springer Nature. This book was released on 2023-12-06 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.

Geographic Data Mining and Knowledge Discovery

Author : Harvey J. Miller
Publisher : CRC Press
ISBN 13 : 1420073982
Total Pages : 486 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Geographic Data Mining and Knowledge Discovery by : Harvey J. Miller

Download or read book Geographic Data Mining and Knowledge Discovery written by Harvey J. Miller and published by CRC Press. This book was released on 2009-05-27 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has bee

Data Mining and Knowledge Discovery for Big Data

Author : Wesley W. Chu
Publisher : Springer Science & Business Media
ISBN 13 : 3642408370
Total Pages : 311 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Data Mining and Knowledge Discovery for Big Data by : Wesley W. Chu

Download or read book Data Mining and Knowledge Discovery for Big Data written by Wesley W. Chu and published by Springer Science & Business Media. This book was released on 2013-09-24 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Multidisciplinary Approaches to Service-Oriented Engineering

Author : Mehdi Khosrow-Pour
Publisher : Engineering Science Reference
ISBN 13 : 9781522559511
Total Pages : 0 pages
Book Rating : 4.5/5 (595 download)

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Book Synopsis Multidisciplinary Approaches to Service-Oriented Engineering by : Mehdi Khosrow-Pour

Download or read book Multidisciplinary Approaches to Service-Oriented Engineering written by Mehdi Khosrow-Pour and published by Engineering Science Reference. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers the challenges of system theories, model driven software engineering, and ontologies for software engineering into a systematic method for engineering service oriented systems"--

Big Data Analytics

Author : Sanjay Madria
Publisher : Springer Nature
ISBN 13 : 3030371883
Total Pages : 466 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Big Data Analytics by : Sanjay Madria

Download or read book Big Data Analytics written by Sanjay Madria and published by Springer Nature. This book was released on 2019-12-12 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.

Advances in Knowledge Discovery and Data Mining

Author : David Cheung
Publisher : Springer
ISBN 13 : 3540453571
Total Pages : 599 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : David Cheung

Download or read book Advances in Knowledge Discovery and Data Mining written by David Cheung and published by Springer. This book was released on 2003-06-29 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001. The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.

Health Information Science

Author : Siuly Siuly
Publisher : Springer
ISBN 13 : 3030010783
Total Pages : 199 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Health Information Science by : Siuly Siuly

Download or read book Health Information Science written by Siuly Siuly and published by Springer. This book was released on 2018-09-21 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Health Information Science, HIS 2018, held in Cairns, QLD, Australia, in October 2018. The 13 full papers and 5 short papers presented were carefully reviewed and selected from 43 submissions. The papers feature multidisciplinary research results in health information science and systems that support health information management and health service delivery. They relate to all aspects of the conference scope, such as medical/health/biomedicine information resources such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, and optimize the use of information in the health domain; data management, data mining, and knowledge discovery, management of public health, examination of standards, privacy and security issues; computer visualization and artificial intelligence for computer aided diagnosis; development of new architectures and applications for health information systems.

Advances in Knowledge Discovery and Data Mining

Author : Honghua Dai
Publisher : Springer
ISBN 13 : 3540247750
Total Pages : 716 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Honghua Dai

Download or read book Advances in Knowledge Discovery and Data Mining written by Honghua Dai and published by Springer. This book was released on 2004-04-22 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: ThePaci?c-AsiaConferenceonKnowledgeDiscoveryandDataMining(PAKDD) has been held every year since 1997. This year, the eighth in the series (PAKDD 2004) was held at Carlton Crest Hotel, Sydney, Australia, 26–28 May 2004. PAKDD is a leading international conference in the area of data mining. It p- vides an international forum for researchers and industry practitioners to share their 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 and automatic scienti?c discovery, data visualization, causal induction, and knowledge-based systems. The selection process this year was extremely competitive. We received 238 researchpapersfrom23countries,whichisthehighestinthehistoryofPAKDD, and re?ects the recognition of and interest in this conference. Each submitted research paper was reviewed by three members of the program committee. F- lowing this independent review, there were discussions among the reviewers, and when necessary, additional reviews from other experts were requested. A total of 50 papers were selected as full papers (21%), and another 31 were selected as short papers (13%), yielding a combined acceptance rate of approximately 34%. The conference accommodated both research papers presenting original - vestigation results and industrial papers reporting real data mining applications andsystemdevelopmentexperience.Theconferencealsoincludedthreetutorials on key technologies of knowledge discovery and data mining, and one workshop focusing on speci?c new challenges and emerging issues of knowledge discovery anddatamining.ThePAKDD2004programwasfurtherenhancedwithkeynote speeches by two outstanding researchers in the area of knowledge discovery and data mining: Philip Yu, Manager of Software Tools and Techniques, IBM T.J.