The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by 'Data Mining' address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining
Abstract- Data Mining represents the process of decocting a previously unknown information from data...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Data mining is an interdisciplinary research area spanning severals disciplines such as database sys...
This book presents four different ways of theoretical and practical advances and applications of dat...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
Data mining is one of the most important steps of the knowledge discovery in databases process and i...
This series aims to capture new developments and applications in data mining and knowledge discovery...
Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, ...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
Data mining is an emerging field gaining acceptance in research and industry. This is evidenced by a...
Data mining techniques are rapidly growing and used by many researchers in past few years. The main ...
In the last years, the class of machine learning algorithms were extended with new techniques as for...
"This book presents researchers and practitioners in fields such as knowledge management, informatio...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
Data mining finds valuable information hidden in large volumes of data that need to be turned into u...
Abstract- Data Mining represents the process of decocting a previously unknown information from data...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Data mining is an interdisciplinary research area spanning severals disciplines such as database sys...
This book presents four different ways of theoretical and practical advances and applications of dat...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
Data mining is one of the most important steps of the knowledge discovery in databases process and i...
This series aims to capture new developments and applications in data mining and knowledge discovery...
Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, ...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
Data mining is an emerging field gaining acceptance in research and industry. This is evidenced by a...
Data mining techniques are rapidly growing and used by many researchers in past few years. The main ...
In the last years, the class of machine learning algorithms were extended with new techniques as for...
"This book presents researchers and practitioners in fields such as knowledge management, informatio...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
Data mining finds valuable information hidden in large volumes of data that need to be turned into u...
Abstract- Data Mining represents the process of decocting a previously unknown information from data...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Data mining is an interdisciplinary research area spanning severals disciplines such as database sys...