Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Beeldverwerking --- Image processing --- Images [Traitement des ] --- Patroonherkenningssystemen --- Pattern recognition systems --- Reconnaissance de configuration (Informatique) --- 681.3*A0 --- 681.3*I5 --- #TELE:d.d. Prof. A. J. J. Oosterlinck --- General --- Pattern recognition (Computing methodologies) --- 681.3*I5 Pattern recognition (Computing methodologies) --- 681.3*A0 General --- Image processing. --- Pattern recognition systems. --- Reconnaissance optique des formes (informatique)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete with theory and practical use cases. It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology "This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy. It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago.

Computer Science. --- Data Mining and Knowledge Discovery. --- Pattern Recognition. --- Computer science. --- Data mining. --- Optical pattern recognition. --- Informatique --- Exploration de données (Informatique) --- Reconnaissance optique des formes (Informatique) --- Engineering & Applied Sciences --- Computer Science --- Pattern recognition. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- 54.64 --- Pattern perception. --- Computers --- Computer Vision & Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Computer. Automation --- Mathematical statistics --- Pattern perception --- Discriminant analysis --- Optical pattern recognition --- Perception de structure --- Analyse discriminante --- Reconnaissance optique des formes (Informatique) --- 519.7 --- #TELE:d.d. Prof. A. J. J. Oosterlinck --- 681.3*I5 --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical data processing --- Perceptrons --- Visual discrimination --- Analysis, Discriminant --- Classification theory (Statistics) --- Discrimination theory (Statistics) --- Multivariate analysis --- Mathematical cybernetics --- Pattern recognition (Computing methodologies) --- Discriminant analysis. --- Optical pattern recognition. --- Pattern perception. --- 681.3*I5 Pattern recognition (Computing methodologies) --- 519.7 Mathematical cybernetics --- Statistical decision. --- Artificial intelligence

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book constitutes the refereed proceedings of the 11th International Symposium on Bioinformatics Research and Applications, ISBRA 2015, held in Norfolk, VA, USA, in June 2015. The 34 revised full papers and 14 two-page papers included in this volume were carefully reviewed and selected from 98 submissions. The papers cover a wide range of topics in bioinformatics and computational biology and their applications.

Computer Science. --- Computational Biology/Bioinformatics. --- Data Mining and Knowledge Discovery. --- Pattern Recognition. --- Mathematical and Computational Biology. --- Computer science. --- Data mining. --- Optical pattern recognition. --- Bioinformatics. --- Informatique --- Exploration de données (Informatique) --- Reconnaissance optique des formes (Informatique) --- Bio-informatique --- Biology --- Health & Biological Sciences --- Biology - General --- Pattern recognition. --- Biomathematics. --- Mathematics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Informatics --- Science --- Data processing --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Computer vision --- Image processing --- Vision par ordinateur --- Traitement d'images --- Congresses. --- Congrès --- Data compression (Computer science) --- Optical pattern recognition --- Biometry --- Applied Physics --- Engineering & Applied Sciences --- Data compression (computer science) --- Reconnaissance optique des formes (informatique) --- Biométrie --- Données compression (informatique) --- Computer science. --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computer Graphics. --- Artificial Intelligence (incl. Robotics). --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Digital techniques --- Computer vision. --- Optical pattern recognition. --- Artificial Intelligence. --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Reconnaissance optique des formes (informatique) et conférence --- Biométrie et conférence --- Vision par ordinateur et conférence --- Données compression (informatique)