Download or read book Data Mining for Association Rules and Sequential Patterns written by Jean-Marc Adamo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in data collection, storage technologies, and computing power have made it possible for companies, government agencies and scientific laboratories to keep and manipulate vast amounts of data relating to their activities. This state-of-the-art monograph discusses essential algorithms for sophisticated data mining methods used with large-scale databases, focusing on two key topics: association rules and sequential pattern discovery. This will be an essential book for practitioners and professionals in computer science and computer engineering.
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 2005-07-26 with total page 174 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.
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.
Download or read book DATA MINING written by Dr. Suneel Pappala and published by Blue Rose Publishers. This book was released on 2022-08-25 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA MINING IS USE TO COMPUTER SCIENCE AND ENGINEERING AND INFORMATION TECHNOLOGY STUDENTS. Data Mining is The process of automatically discovering useful information in large data repositories. – Observation = case, record, instance – Variable = field, attribute – Analysis of dependence vs interdependence = Supervised vs unsupervised learning – Relationship = association, concept – Dependent variable Data Mining is mainly concentrated on Association rule, Mining Frequent Patterns it is concentrated on Associations and correlations and also concentrated on Mining Methods,Mining Various kinds of Association Rules,Correlation Analysis, Constraint based Association mining. Graph Pattern Mining SPM. Classification and Prediction ,Basic concepts,Decision tree induction,Bayesian classification, Rule–based classification, Lazy learner. Cluster analysis,Types of Data in Cluster Analysis,Categorization of Major Clustering Methods, Partitioning Methods, Hierarchical Methods,Density Based Methods, Grid Based Methods, Outlier Analysis. Basic concepts in Mining data streams Mining Time series data Mining sequence patterns in Transactional databases Mining Object Spatial Multimedia Text and Web data Spatial Data mining Multimedia Data mining Text Mining Mining the World Wide Web.
Download or read book Fast Algorithms for Mining Association Rules and Sequential Patterns written by Ramakrishnan Srikant and published by . This book was released on 1996 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Association Rule Mining written by Chengqi Zhang and published by Springer. This book was released on 2003-08-01 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.
Download or read book Principles of Data Mining and Knowledge Discovery written by Jan Zytkow and published by Springer Science & Business Media. This book was released on 1999-09-01 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999. The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.
Download or read book Data Mining Patterns New Methods and Applications written by Poncelet, Pascal and published by IGI Global. This book was released on 2007-08-31 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides an overall view of recent solutions for mining, and explores new patterns,offering theoretical frameworks and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques and real-world applications. It portrays research applications in data models, methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming and incremental mining"--Provided by publisher.
Download or read book Rare Association Rule Mining and Knowledge Discovery Technologies for Infrequent and Critical Event Detection written by Koh, Yun Sing and published by IGI Global. This book was released on 2009-08-31 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining"--Provided by publisher.
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.
Download or read book Computational Structures and Algorithms for Association Rules The Galois Connection written by and published by Jean-Marc Adamo. This book was released on with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Database Technology EDBT 96 written by Peter Apers and published by Springer. This book was released on 1996-03-18 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the Fifth International Conference on Extending Database Technology, EDBT'96, held in Avignon, France in March 1996. The 31 full revised papers included were selected from a total of 178 submissions; also included are some industrial-track papers, contributed by partners of several ESPRIT projects. The volume is organized in topical sections on data mining, active databases, design tools, advanced DBMS, optimization, warehousing, system issues, temporal databases, the web and hypermedia, performance, workflow management, database design, and parallel databases.
Download or read book Non redundant Sequential Association Rule Mining Based on Closed Sequential Patterns written by Hao Zang and published by . This book was released on 2010 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Designing a Multi Level Support Based Association Mining Algorithm written by Shanmuganathan Vasanthapriyan and published by Lulu.com. This book was released on 2014-09-29 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finding of hidden and previously unknown information in large collection of data is the process of data mining. Mining association rules is a very important model in data mining. Using association rules different type of regularities and patterns can be identified. The main approach of association rules is the market basket analysis which exposes relationships between the items customers are regularly buying. In most of the previous approaches of finding association rules a single minimum support threshold value is used for all the items or itemsets. But all the items in an itemset do not behave in the same way where some appear very frequently and some appear very rarely. Therefore the support requirements should vary with different items. Here we proposed new algorithm and was tested using different data sets to prove the advantages. The analysis showed that the proposed algorithm is easy and efficient and it saves time by focusing only on necessary associations comparing to existing algorithms.
Download or read book Advances in Artificial Intelligence written by Leila Kosseim and published by Springer. This book was released on 2012-05-09 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, held in Toronto, Canada, in May 2012. The 23 regular papers, 16 short papers, and 4 papers from the Graduate Student Symposium presented were carefully reviewed and selected for inclusion in this book. The papers cover a broad range of topics presenting original work in all areas of artificial intelligence, either theoretical or applied.
Download or read book Large Scale Parallel Data Mining written by Mohammed J. Zaki and published by Springer. This book was released on 2003-07-31 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the unprecedented growth-rate at which data is being collected and stored electronically today in almost all fields of human endeavor, the efficient extraction of useful information from the data available is becoming an increasing scientific challenge and a massive economic need. This book presents thoroughly reviewed and revised full versions of papers presented at a workshop on the topic held during KDD'99 in San Diego, California, USA in August 1999 complemented by several invited chapters and a detailed introductory survey in order to provide complete coverage of the relevant issues. The contributions presented cover all major tasks in data mining including parallel and distributed mining frameworks, associations, sequences, clustering, and classification. All in all, the volume presents the state of the art in the young and dynamic field of parallel and distributed data mining methods. It will be a valuable source of reference for researchers and professionals.
