Sequential Pattern Generalization For Mining Multi Source Data

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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.

Frequent Pattern Mining

Author : Charu C. Aggarwal
Publisher : Springer
ISBN 13 : 3319078216
Total Pages : 480 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 480 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.

Developing Multi-Database Mining Applications

Author : Animesh Adhikari
Publisher : Springer Science & Business Media
ISBN 13 : 1849960445
Total Pages : 134 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Developing Multi-Database Mining Applications by : Animesh Adhikari

Download or read book Developing Multi-Database Mining Applications written by Animesh Adhikari and published by Springer Science & Business Media. This book was released on 2010-06-14 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-database mining has been recognized recently as an important and strategically essential area of research in data mining. In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications. It explains how systematically one could prepare data warehouses at different branches. As appropriate multi-database mining technique is essential to develop better applications. Also, the efficiency of a multi-database mining application could be improved by processing more patterns in the application. A faster algorithm could also play an important role in developing a better application. Thus the efficiency of a multi-database mining application could be enhanced by choosing an appropriate multi-database mining model, an appropriate pattern synthesizing technique, a better pattern representation technique, and an efficient algorithm for solving the problem. This book illustrates each of these issues either in the context of a specific problem, or in general.

Advanced Data Mining and Applications

Author : Jie Tang
Publisher : Springer
ISBN 13 : 3642258565
Total Pages : 434 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advanced Data Mining and Applications by : Jie Tang

Download or read book Advanced Data Mining and Applications written by Jie Tang and published by Springer. This book was released on 2011-12-15 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.

Data Analysis and Pattern Recognition in Multiple Databases

Author : Animesh Adhikari
Publisher : Springer Science & Business Media
ISBN 13 : 3319034103
Total Pages : 247 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Data Analysis and Pattern Recognition in Multiple Databases by : Animesh Adhikari

Download or read book Data Analysis and Pattern Recognition in Multiple Databases written by Animesh Adhikari and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as exceptional patterns, icebergs and periodic patterns have been recently reported. The book presents a thorough influence analysis between items in time-stamped databases. The recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments.

Encyclopedia of Data Warehousing and Mining, Second Edition

Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1605660116
Total Pages : 2542 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Encyclopedia of Data Warehousing and Mining, Second Edition by : Wang, John

Download or read book Encyclopedia of Data Warehousing and Mining, Second Edition written by Wang, John and published by IGI Global. This book was released on 2008-08-31 with total page 2542 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.

Advances in Knowledge Discovery and Data Mining

Author : Kamal Karlapalem
Publisher : Springer Nature
ISBN 13 : 3030757625
Total Pages : 865 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Kamal Karlapalem

Download or read book Advances in Knowledge Discovery and Data Mining written by Kamal Karlapalem and published by Springer Nature. This book was released on 2021-05-08 with total page 865 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

High-Utility Pattern Mining

Author : Philippe Fournier-Viger
Publisher : Springer
ISBN 13 : 3030049213
Total Pages : 343 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 343 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.

Advanced Data Mining and Applications

Author : Hiroshi Motoda
Publisher : Springer
ISBN 13 : 3642539149
Total Pages : 605 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Advanced Data Mining and Applications by : Hiroshi Motoda

Download or read book Advanced Data Mining and Applications written by Hiroshi Motoda and published by Springer. This book was released on 2013-12-14 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.

Advances in Knowledge Discovery in Databases

Author : Animesh Adhikari
Publisher : Springer
ISBN 13 : 3319132121
Total Pages : 377 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advances in Knowledge Discovery in Databases by : Animesh Adhikari

Download or read book Advances in Knowledge Discovery in Databases written by Animesh Adhikari and published by Springer. This book was released on 2014-12-27 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.

Computational Collective Intelligence

Author : Ngoc Thanh Nguyen
Publisher : Springer Nature
ISBN 13 : 3030630072
Total Pages : 908 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Computational Collective Intelligence by : Ngoc Thanh Nguyen

Download or read book Computational Collective Intelligence written by Ngoc Thanh Nguyen and published by Springer Nature. This book was released on 2020-11-23 with total page 908 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.* The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems. *The conference was held virtually due to the COVID-19 pandemic.

Data Mining: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1466624566
Total Pages : 2335 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Data Mining: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Data Mining: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2012-11-30 with total page 2335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

Introduction to Data Mining for the Life Sciences

Author : Rob Sullivan
Publisher : Springer Science & Business Media
ISBN 13 : 1597452904
Total Pages : 644 pages
Book Rating : 4.5/5 (974 download)

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Book Synopsis Introduction to Data Mining for the Life Sciences by : Rob Sullivan

Download or read book Introduction to Data Mining for the Life Sciences written by Rob Sullivan and published by Springer Science & Business Media. This book was released on 2012-01-07 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.

Data Mining: Concepts and Techniques

Author : Jiawei Han
Publisher : Elsevier
ISBN 13 : 0123814804
Total Pages : 740 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Data Mining: Concepts and Techniques by : Jiawei Han

Download or read book Data Mining: Concepts and Techniques written by Jiawei Han and published by Elsevier. This book was released on 2011-06-09 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Advances in Knowledge Discovery and Management

Author : Fabrice Guillet
Publisher : Springer Science & Business Media
ISBN 13 : 3642258379
Total Pages : 244 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Knowledge Discovery and Management by : Fabrice Guillet

Download or read book Advances in Knowledge Discovery and Management written by Fabrice Guillet and published by Springer Science & Business Media. This book was released on 2012-02-13 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community. In 2003, this enthusiasm for KDM led to the foundation of a specific French-speaking association, called EGC, dedicated to supporting and promoting this topic. More precisely, KDM is concerned with the interface between knowledge and data such as, among other things, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2010 Conference held in Tunis, Tunisia in January 2010. The volume is organized in three parts. Part I includes four chapters concerned with various aspects of Data Cube and Ontology-based representations. Part II is composed of four chapters concerned with Efficient Pattern Mining issues, while in Part III the last four chapters address Data Preprocessing and Information Retrieval.

The Practical Handbook of Internet Computing

Author : Munindar P. Singh
Publisher : CRC Press
ISBN 13 : 0203507223
Total Pages : 1139 pages
Book Rating : 4.2/5 (35 download)

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Book Synopsis The Practical Handbook of Internet Computing by : Munindar P. Singh

Download or read book The Practical Handbook of Internet Computing written by Munindar P. Singh and published by CRC Press. This book was released on 2004-09-29 with total page 1139 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Practical Handbook of Internet Computing analyzes a broad array of technologies and concerns related to the Internet, including corporate intranets. Fresh and insightful articles by recognized experts address the key challenges facing Internet users, designers, integrators, and policymakers. In addition to discussing major applications, it also

Data Mining : A Future Scope

Author : Dr. Ravisankar Malladi, Dr. T. Santhi Sri, Dr. S. Kuzhaloli, Dr. P. Vijayakumar
Publisher : Nitya Publications
ISBN 13 : 8194724686
Total Pages : 244 pages
Book Rating : 4.1/5 (947 download)

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Book Synopsis Data Mining : A Future Scope by : Dr. Ravisankar Malladi, Dr. T. Santhi Sri, Dr. S. Kuzhaloli, Dr. P. Vijayakumar

Download or read book Data Mining : A Future Scope written by Dr. Ravisankar Malladi, Dr. T. Santhi Sri, Dr. S. Kuzhaloli, Dr. P. Vijayakumar and published by Nitya Publications. This book was released on 2020-01-01 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of data mining is to obtain relevant data from a large data set. Because of the advances in camera IT, and high-performance computing, a vast amount of knowledge is accessible in a broad variety of science disciplines. Not only are these data sets incredibly wide but they are often quite complicated to be represented in terabytes and petabytes. The whole complexity occurs as the data is generated by various sensors at varying intervals, wavelengths, or resolutions. In reality, the awareness is typically interpreted or meshed and has both a spatial and a temporal aspect often.