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Principles of Data Mining (Undergraduate Topics in Computer Science)
Principles of Data Mining (Undergraduate Topics in Computer Science)

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.

Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each...

Statistical and Machine Learning Approaches for Network Analysis (Wiley Series in Computational Statistics)
Statistical and Machine Learning Approaches for Network Analysis (Wiley Series in Computational Statistics)

Explore the multidisciplinary nature of complex networks through machine learning techniques

Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for...

Knowledge Needs and Information Extraction: Towards an Artificial Consciousness (ISTE)
Knowledge Needs and Information Extraction: Towards an Artificial Consciousness (ISTE)
The title of this book is both subversive and ambitious. It is subversive because few academic publications deal with this subject. There has, of course, been work done in robotics on artificially reproducing a “human” movement. One can also find more cognitive works about the way of reasoning – i.e. storing and...
Outcome Prediction in Cancer
Outcome Prediction in Cancer

This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival...

Bacterial Genomes and Infectious Diseases
Bacterial Genomes and Infectious Diseases
The first bacterial genome, Haemophilus influenzae, was completely sequenced, annotated, and published in 1995. Today, more than 200 prokaryotic (archaeal and bacterial) genomes have been completed and over 500 prokaryotic genomes are in various stages of completion. Seventeen eukaryotic genomes plus four eukaryotic chromosomes...
Handbook of Data Intensive Computing
Handbook of Data Intensive Computing
This handbook is carefully edited book – contributors are worldwide experts in the field of data intensive computing and their applications. The scope of the book includes leading edge data intensive computing architectures and systems, innovative storage, virtualization, and parallel processing technologies applied in...
Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics
Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics

Clustering is an important unsupervised classification technique where a set of patterns, usually vectors in multidimensional space, are grouped into clusters based on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...

Utility-Based Learning from Data
Utility-Based Learning from Data

Statistical learning — that is, learning from data — and, in particular, probabilistic model learning have become increasingly important in recent years. Advances in information technology have facilitated an explosion of available data. This explosion has been accompanied by theoretical advances, permitting new and...

Algorithms in Bioinformatics
Algorithms in Bioinformatics

The present volume is dedicated to aspects of algorithmic work in bioinformat ics and computational biology with an emphasis on string algorithms that play a central role in the analysis of biological sequences. The papers included are a selection of articles corresponding to talks given at one of two meetings spon sored by The Royal...

Bayesian Reasoning and Machine Learning
Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many di erent sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing the knowledge as to...
Language and Automata Theory and Applications: 5th International Conference
Language and Automata Theory and Applications: 5th International Conference
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
...
Mathematical Foundations of Computer Science 2013: 38th International Symposium, MFCS 2013, Klosterneuburg, Austria, August 26-30, 2013, Proceedings
Mathematical Foundations of Computer Science 2013: 38th International Symposium, MFCS 2013, Klosterneuburg, Austria, August 26-30, 2013, Proceedings

This book constitutes the thoroughly refereed conference proceedings of the 38th International Symposium on Mathematical Foundations of Computer Science, MFCS 2013, held in Klosterneuburg, Austria, in August 2013. The 67 revised full papers presented together with six invited talks were carefully selected from 191 submissions. Topics covered...

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