Data Mining For Association Rules And Sequential Patterns PDF Download
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Author | : Jean-Marc Adamo |
Publisher | : Springer Science & Business Media |
Total Pages | : 259 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461300851 |
Download Data Mining for Association Rules and Sequential Patterns Book in PDF, ePub and Kindle
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.
Author | : Wei Wang |
Publisher | : Springer Science & Business Media |
Total Pages | : 174 |
Release | : 2005-07-26 |
Genre | : Computers |
ISBN | : 0387242473 |
Download Mining Sequential Patterns from Large Data Sets Book in PDF, ePub and Kindle
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.
Author | : Charu C. Aggarwal |
Publisher | : Springer |
Total Pages | : 480 |
Release | : 2014-08-29 |
Genre | : Computers |
ISBN | : 3319078216 |
Download Frequent Pattern Mining Book in PDF, ePub and Kindle
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.
Author | : Dr. Suneel Pappala |
Publisher | : Blue Rose Publishers |
Total Pages | : 45 |
Release | : 2022-08-25 |
Genre | : Computers |
ISBN | : |
Download DATA MINING Book in PDF, ePub and Kindle
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.
Author | : Ramakrishnan Srikant |
Publisher | : |
Total Pages | : 344 |
Release | : 1996 |
Genre | : Data mining |
ISBN | : |
Download Fast Algorithms for Mining Association Rules and Sequential Patterns Book in PDF, ePub and Kindle
Author | : Chengqi Zhang |
Publisher | : Springer |
Total Pages | : 247 |
Release | : 2003-08-01 |
Genre | : Computers |
ISBN | : 3540460276 |
Download Association Rule Mining Book in PDF, ePub and Kindle
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.
Author | : Koh, Yun Sing |
Publisher | : IGI Global |
Total Pages | : 320 |
Release | : 2009-08-31 |
Genre | : Business & Economics |
ISBN | : 1605667552 |
Download Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection Book in PDF, ePub and Kindle
"This book provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining"--Provided by publisher.
Author | : Jan Zytkow |
Publisher | : Springer Science & Business Media |
Total Pages | : 608 |
Release | : 1999-09-01 |
Genre | : Computers |
ISBN | : 3540664904 |
Download Principles of Data Mining and Knowledge Discovery Book in PDF, ePub and Kindle
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.
Author | : Poncelet, Pascal |
Publisher | : IGI Global |
Total Pages | : 324 |
Release | : 2007-08-31 |
Genre | : Computers |
ISBN | : 1599041642 |
Download Data Mining Patterns: New Methods and Applications Book in PDF, ePub and Kindle
"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.
Author | : |
Publisher | : Jean-Marc Adamo |
Total Pages | : 277 |
Release | : |
Genre | : |
ISBN | : 2746637227 |
Download Computational Structures and Algorithms for Association Rules: The Galois Connection Book in PDF, ePub and Kindle