Data Mining Concepts and Techniques

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

Produk Detail:

  • Author : Jiawei Han
  • Publisher : Elsevier
  • Pages : 744 pages
  • ISBN : 9780123814807
  • Rating : 3.5/5 from 5 reviews
CLICK HERE TO GET THIS BOOKData Mining Concepts and Techniques

Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques
  • Author : Jiawei Han,Jian Pei,Micheline Kamber
  • Publisher : Elsevier
  • Release : 09 June 2011
GET THIS BOOKData Mining: Concepts and Techniques

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

Applied Data Mining

Applied Data Mining
  • Author : Guandong Xu,Yu Zong,Zhenglu Yang
  • Publisher : CRC Press
  • Release : 17 June 2013
GET THIS BOOKApplied Data Mining

Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas.

Advanced Data Mining Tools and Methods for Social Computing

Advanced Data Mining Tools and Methods for Social Computing
  • Author : Sourav De,Sandip Dey,Siddhartha Bhattacharyya,Surbhi Bhatia
  • Publisher : Academic Press
  • Release : 28 January 2022
GET THIS BOOKAdvanced Data Mining Tools and Methods for Social Computing

Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances

Data Mining and Analysis

Data Mining and Analysis
  • Author : Mohammed J. Zaki,Wagner Meira, Jr
  • Publisher : Cambridge University Press
  • Release : 12 May 2014
GET THIS BOOKData Mining and Analysis

A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.

The Handbook of Data Mining

The Handbook of Data Mining
  • Author : Nong Ye
  • Publisher : CRC Press
  • Release : 01 April 2003
GET THIS BOOKThe Handbook of Data Mining

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world

Machine Learning and Data Mining

Machine Learning and Data Mining
  • Author : Igor Kononenko,Matjaz Kukar
  • Publisher : Horwood Publishing
  • Release : 14 May 2007
GET THIS BOOKMachine Learning and Data Mining

Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. Written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining, this text is suitable foradvanced undergraduates, postgraduates and tutors in a wide area of computer science and technology, as well as

Music Data Mining

Music Data Mining
  • Author : Tao Li,Mitsunori Ogihara,George Tzanetakis
  • Publisher : CRC Press
  • Release : 12 July 2011
GET THIS BOOKMusic Data Mining

The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing. The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent

Next Generation of Data Mining

Next Generation of Data Mining
  • Author : Hillol Kargupta,Jiawei Han,Philip S. Yu,Rajeev Motwani,Vipin Kumar
  • Publisher : CRC Press
  • Release : 24 December 2008
GET THIS BOOKNext Generation of Data Mining

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

Multimedia Data Mining

Multimedia Data Mining
  • Author : Zhongfei Zhang,Ruofei Zhang
  • Publisher : CRC Press
  • Release : 02 December 2008
GET THIS BOOKMultimedia Data Mining

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications. Two of the most active researchers in multimedia data mining explore how this young area has rapidly developed in recent years. The book first discusses the theoretical foundations of multimedia data mining, presenting commonly used feature representation, knowledge representation, statistical learning, and soft computing techniques. It then provides application examples that showcase the great

Data Mining

Data Mining
  • Author : Ian H. Witten,Eibe Frank
  • Publisher : Elsevier
  • Release : 13 July 2005
GET THIS BOOKData Mining

Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information

Data Mining and Data Visualization

Data Mining and Data Visualization
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 02 May 2005
GET THIS BOOKData Mining and Data Visualization

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering,

Data Mining

Data Mining
  • Author : Richard J. Roiger
  • Publisher : CRC Press
  • Release : 06 January 2017
GET THIS BOOKData Mining

Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Fundamental data mining strategies, techniques, and evaluation methods are presented and implemented with the help of two well-known software

Advanced Data Mining and Applications

Advanced Data Mining and Applications
  • Author : Xue Li,Shuliang Wang
  • Publisher : Springer Science & Business Media
  • Release : 12 July 2005
GET THIS BOOKAdvanced Data Mining and Applications

This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams; an expansion of data mining to new applications is also strived for. The 25 revised full papers and 75 revised short papers presented were carefully

Data Mining Techniques

Data Mining Techniques
  • Author : Michael J. A. Berry,Gordon S. Linoff
  • Publisher : John Wiley & Sons
  • Release : 28 April 2004
GET THIS BOOKData Mining Techniques

Packed with more than forty percent new and updated material,this edition shows business managers, marketing analysts, and datamining specialists how to harness fundamental data mining methodsand techniques to solve common types of business problems Each chapter covers a new data mining technique, and then showsreaders how to apply the technique for improved marketing, sales,and customer support The authors build on their reputation for concise, clear, andpractical explanations of complex concepts, making this book theperfect introduction to data mining