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 More advanced chapters cover such topics as how to prepare datafor analysis and how to create the necessary infrastructure fordata mining Covers core data mining techniques, including decision trees,neural networks, collaborative filtering, association rules, linkanalysis, clustering, and survival analysis

Considers (81) H.R. 3023.

In the field of knowledge discovery, graphs of concepts are an expressive and versatile modeling technique providing ways to reason about information implicit in a set of data. Interesting examples of this can be found under the mathematical theory of formal concept analysis, dedicated to the construction of a lattice of concepts by defining a Galois connection on a binary relationship. This book present such graph of concepts under the more complex case of data that comes in a set of structured objects; e.g. a set of sequences, trees or graphs. Nodes of this graph will represent patterns in the data and edges will correspond to relationships of specificity. From this combinatorial object results are derived such as a full characterization of logical implications and closed partial orders. The results presented in this book are coupled with examples and empirical experiments that illustrate the derived theoretical contributions.

Includes annual reports and lists of members of the institute.

An investigative reporter sets out to uncover the truth about a mining company in Northern Finland, whose activities have caused an environmental disaster. Timely, atmospheric and chilling Nordic Noir from one of Finland's finest writers... 'Tuomainen writes beautifully' Publishers Weekly 'Clever, atmospheric and wonderfully imaginative' Sunday Mirror 'A simple story told with passion and elegant sadness' The Times ––––––––––––––––––––––––––– A hitman. A journalist. A shattered family. A mine spewing toxic secrets that threaten to poison them all... In the dead of winter, investigative reporter Janne Vuori sets out to uncover the truth about a mining company, whose illegal activities have created an environmental disaster in a small town in Northern Finland. When the company's executives begin to die in a string of mysterious accidents, and Janne's personal life starts to unravel, past meets present in a catastrophic series of events that could cost him his life. A traumatic story of family, a study in corruption, and a shocking reminder that secrets from the past can return to haunt us, with deadly results, The Mine is a gripping, beautifully written, terrifying and explosive thriller by the King of Helsinki Noir. ––––––––––––––––––––––––––––––––––––– 'Dark, captivating and troubling' Crime Fiction Lover 'Beautifully executed ... mesmerising' Australian Crime 'Antti Tuomainen again creates a powerful book, set firmly within the boundaries of strong themes and unforgettable characters, with the huge dose of beautiful sensitive style, masterfully translated from Finnish by David Hackston' Crime Review 'You don't expect to laugh when you're reading about terrible crimes, but that's what you'll do when you pick up one of Tuomainen's decidedly quirky thrillers' New York Times 'Antti Tuomainen is a wonderful writer, whose characters, plots and atmosphere are masterfully drawn' Yrsa Sigurðardóttir 'One of the most compelling, emotionally satisfying and beautifully realised crime thrillers that I have encountered this year. The clarity and deceptively simple style of Tuomainen's prose is utterly compelling' Raven Crime Reads

This book constitutes the proceedings of the 10th International Conference on Advanced Data Mining and Applications, ADMA 2014, held in Guilin, China during December 2014. The 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.

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 peer-reviewed and selected from over 600 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.