Data Mining

• Author : Jiawei Han,Jian Pei,Hanghang Tong
• Publisher : Morgan Kaufmann
• Release : 15 October 2022

Data Mining: Concepts and Techniques, Fourth Edition provides the theories and methods for processing gathered data or information to be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data, known as KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, the authors explain the methods of knowing, preprocessing, processing, and warehousing data. They then present information about data

• Author : Jiawei Han,Jian Pei,Micheline Kamber
• Publisher : Elsevier
• Release : 09 June 2011

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

• Author : Jiawei Han,Jian Pei,Micheline Kamber
• Publisher : Unknown
• Release : 17 May 2022

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

• Author : Jiawei Han,Micheline Kamber
• Publisher : Unknown
• Release : 17 May 2022

• Author : Management Association, Information Resources
• Publisher : IGI Global
• Release : 30 November 2012

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.

• Author : Jiawei Han,Micheline Kamber
• Publisher : Unknown
• Release : 01 January 2010

• Author : Florin Gorunescu
• Publisher : Springer Science & Business Media
• Release : 10 March 2011

The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge

• Author : Wang, John
• Publisher : IGI Global
• Release : 31 May 2008

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

• Author : Jiawei Han,Micheline Kamber
• Publisher : Morgan Kaufmann
• Release : 17 May 2022

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

• Author : Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel
• Publisher : John Wiley & Sons
• Release : 05 November 2019

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction,

• Author : Guozhu Dong,James Bailey
• Publisher : CRC Press
• Release : 07 September 2012

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical,

• Author : Jiawei Han,Micheline Kamber
• Publisher : Unknown
• Release : 17 May 2022

Mining of Data with Complex Structures explores nature of data with complex structure including sequences, trees and graphs. Readers will find a detailed description of the state-of-the-art of sequence mining, tree mining and graph mining, and more.

• Author : Management Association, Information Resources
• Publisher : IGI Global
• Release : 06 December 2019

Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and

• Author : Management Association, Information Resources
• Publisher : IGI Global
• Release : 07 June 2019

Biotechnology can be defined as the manipulation of biological process, systems, and organisms in the production of various products. With applications in a number of fields such as biomedical, chemical, mechanical, and civil engineering, research on the development of biologically inspired materials is essential to further advancement. Biotechnology: Concepts, Methodologies, Tools, and Applications is a vital reference source for the latest research findings on the application of biotechnology in medicine, engineering, agriculture, food production, and other areas. It also examines

• Author : D.J. Hemanth,V.D.A. Kumar,S. Malathi
• Publisher : IOS Press
• Release : 15 December 2020

Recent developments in soft-computation techniques have paved the way for handling huge volumes of data, thereby bringing about significant changes and technological advancements. This book presents the proceedings of the 3rd International Conference on Emerging Current Trends in Computing & Expert Technology (COMET 2020), held at Panimalar Engineering College, Chennai, India on 6 and 7 March 2020. The aim of the book is to disseminate cutting-edge developments taking place in the technological fields of intelligent systems and computer technology, thereby assisting researchers and practitioners from