Data Mining Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) by JiaweiHan, JianPei, Hanghang Tong, Han Et Al Paperback, 752 Pages, Published 2022 by Elsevier Science & Technology, San Francisco ISBN-13: 978-0-12-811760-6, ISBN: 0-12-811760-5
"Specifically, it explains data mining and the tools used in discovering knowledge from collected data, known as KDD. The book focuses on the feasibility, usefulness, effectiveness and scalability of techniques of large datasets."
"Data Mining: Concepts and Techniquesprovides 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 ..."
"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 gr ..."
"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 gr ..."
Exploiting the Power of Group Differences Using Patterns to Solve Data Analysis Problems (Synthesis Lectures on Data Mining and Knowledge Discovery) by Guozhu Dong, JiaweiHan, Lise Getoor Paperback, 148 Pages, Published 2019 by Morgan & Claypool Publishers ISBN-13: 978-1-68173-502-3, ISBN: 1-68173-502-4
"This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are patterns that match significantly different numbers of instances in different data groups. A large number of applications outside ..."
"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 co ..."
"The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora. Departing from many exi ..."
"Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect anomalies that indicate critical events, s ..."
Mining Software Specifications(1st Edition) Methodologies and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by David Lo, Siau-Cheng Khoo, JiaweiHan, Chao Liu Paperback, 460 Pages, Published 2017 by Crc Press ISBN-13: 978-1-138-11490-6, ISBN: 1-138-11490-1
"An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes recent approaches for mining specifications of software systems. Experts in the field illustrate how to apply state-of-the-art data mining a ..."
"Knowledge Discovery from Databases (KDD) and Data Mining (DM) are general terms for a research area that deals with constructing models from data for predictive, descriptive, or summarizing purposes. Existing text books provide a broad overview of these problems and usually devote most attention to topics such as clustering and classification. Their discussions of pattern mining are often restricted to the basics of itemset mining and a ..."
"Social media shatters the barrier to communicate anytime anywhere for people of all walks of life. The publicly available, virtually free information in social media poses a new challenge to consumers who have to discern whether a piece of information published in social media is reliable. For example, it can be difficult to understand the motivations behind a statement passed from one user to another, without knowing the person who ori ..."
"With the rapid progress in high performance computers, database systems, data warehouse systems, remote sensing, telecommunication systems, data collection tools, data storage devices, and the world wide web, the amount of data being collected and made available has grown rapidly, far exceeding the capability of scientists, engineers, and business analysts to analyze it. Without new algorithms and innovative applications, most of these ..."
"A lot of digital ink has been spilled on "big data" over the past few years. Most of this surge owes its origin to the various types of unstructured data in the wild, among which the proliferation of text-heavy data is particularly overwhelming, attributed to the daily use of web documents, business reviews, news, social posts, etc., by so many people worldwide.A core challenge presents itself: How can one efficiently and effectively tu ..."
Mining Latent Entity Structures (Synthesis Lectures on Data Mining and Knowledge Discovery) by Chi Wang, JiaweiHan Paperback, 159 Pages, Published 2015 by Morgan & Claypool ISBN-13: 978-1-62705-660-1, ISBN: 1-62705-660-2
"The ""big data"" era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media, news, and everyone's daily life. Examples of such collections include scientific publications, enterprise logs, news articles, social media, and general web pages. Valuable knowledge about multi-typed entities is often hidden in the unstructured or loosely structured, interconn ..."
"Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimen ..."
Mining Heterogeneous Information Networks(1st Edition) Principles and Methodologies (Synthesis Lectures on Data Mining and Knowledge Discovery) by Yizhou Sun, JiaweiHan Paperback, 160 Pages, Published 2012 by Morgan & Claypool Publishers ISBN-13: 978-1-60845-880-6, ISBN: 1-60845-880-6
"Real-world physical and abstract data objects are interconnected, forming gigantic, interconnected networks. By structuring these data objects and interactions between these objects into multiple types, such networks become semi-structured heterogeneous information networks. Most real-world applications that handle big data, including interconnected social media and social networks, scientific, engineering, or medical information system ..."
"This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology.The proposed book expertly combines the ..."
Data Mining(2nd Edition) by JiaweiHan, Micheline Kamber Paperback, Published 2006 by Morgan Kaufmann Publishers Inc,Us ISBN-13: 978-0-12-373584-3, ISBN: 0-12-373584-X
"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 gr ..."
Fifth IEEE International Conference on Data Mining ICDM 2005 : Proceedings : 27-30 November, 2005, Houston, Texas by JiaweiHan Paperback, 750 Pages, Published 2005 by Ieee Computer Society Press,U.S. ISBN-13: 978-0-7695-2278-4, ISBN: 0-7695-2278-5
"ICDM 2005 focuses on new research challenges and initiatives, and covers emerging data mining technologies and the state-of-the-art of data mining developments."