The objective of the second edition of this book is to introduce statistical data mining
concepts, describe methods in statistical data mining from sampling to decision
trees, demonstrate the features of user-friendly data mining SAS tools and, above
all, allow the book users to download compiled data mining SAS (Version 9.0 and...
These proceedings contain the papers that were presented at the 5th International
Conference on Language and Automata Theory and Applications (LATA
2011), held in Tarragona, Spain, during May 26–31, 2011.
The scope of LATA is rather broad, including: algebraic language theory;
algorithms for semi-structured...
Since its definition a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to problems either in industry, government or science. From the initial definition and motivated by real applications, the problem of mining patterns not only addresses the finding of itemsets...
Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest...
Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of...
This book is not just another theoretical text about statistics or data mining. No, instead it is aimed for database administrators who want to use SQL or bolster their understanding of statistics to support data mining and customer relationship management analytics.
Each chapter is self-contained, with examples tailored to real...
Written to bridge the information needs of management and computational scientists, this book presents the first comprehensive treatment of Computational Red Teaming (CRT). The author describes an analytics environment that blends human reasoning and computational modeling to design risk-aware and evidence-based smart decision making...
The aim of this book is to introduce the reader to some of the best
techniques for data mining in bioinformatics in the hope that the reader
will build on them to make new discoveries on his or her own. The
book contains twelve chapters in four parts, namely, overview, sequence
and structure alignment, biological...
This book gathers the best papers presented at the International Conference on Data Sciences, Security and Applications (ICDSSA 2019), organized by Bharati Vidyapeeth’s College of Engineering, New Delhi, India, on 7–8 March 2019. The respective contributions present original research work, essential information, techniques and...
Until recently, experimental philosophy has been associated with the questionnaire-based study of intuitions. This volume brings together established and emerging research leaders from several areas of experimental philosophy to explore how new empirical methods from the behavioural sciences and digital humanities can contribute to...
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a...
