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Advances in the development of parallel algorithms and system software now enable the ever-increasing power of scalable high-performance computers to be harnessed for scientific computing applications at fidelities that rival – and in many cases exceed – experimental methodologies. This comprehensive text/reference, inspired by the visionary work of Prof. Ahmed H. Sameh, represents the state of the art in parallel numerical algorithms, applications, architectures, and system software. Articles in this collection address solutions to various challenges arising from concurrency, scale, energy efficiency, and programmability. These solutions are discussed in the context of diverse applications, ranging from scientific simulations to large-scale data analysis and mining. Topics and features: Includes contributions from an international selection of world-class authorities, inspired by the work of Prof. Ahmed H. Sameh Examines various aspects of parallel algorithm-architecture interaction through articles on computational capacity-based codesign and automatic restructuring of programs using compilation techniques Reviews emerging applications of numerical methods in information retrieval and data mining Discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems Presents outstanding challenges and developing technologies, and puts these in their historical context This authoritative reference is a must-read for researchers and graduate students in disciplines as diverse as computational fluid dynamics, signal processing, and structural mechanics. Professionals involved in applications that rely on high-performance computers will also find the text an essential resource.

Cloud computing. --- Computational grids (Computer systems). --- Computer science. --- Electronic data processing. --- High performance computing. --- Information storage and retrieva. --- Science -- Data processing. --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Applied Mathematics --- Computer Science --- Sciences - General --- Science --- Data processing. --- HPC (Computer science) --- Electronic data processing --- Numerical analysis. --- Computer science --- Information storage and retrieval. --- Computer Science. --- Numeric Computing. --- Information Storage and Retrieval. --- Math Applications in Computer Science. --- Mathematics. --- Computer mathematics --- Discrete mathematics --- Mathematical analysis --- Informatics --- Mathematics --- Cyberinfrastructure --- Supercomputers --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Automation --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Computer science—Mathematics.

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Information storage and retrieval systems

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Mathematical linguistics --- Information retrieval --- Computer science --- Web search engines --- Vector spaces --- Text processing (Computer science) --- Moteurs de recherche sur Internet --- Espaces vectoriels --- 681.3*H33 --- #TELE:SISTA --- 512.64 --- 519.6 --- 681.3*G13 --- Information search and retrieval: clustering; query formulation; retrieval models; search process; selection process --- Linear and multilinear algebra. Matrix theory --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Vector spaces. --- Web search engines. --- Text processing (Computer science). --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- 512.64 Linear and multilinear algebra. Matrix theory --- 681.3*H33 Information search and retrieval: clustering; query formulation; retrieval models; search process; selection process --- Web searching --- World Wide Web searching --- Internet searching --- Search engines --- Web portals --- World Wide Web --- Linear spaces --- Linear vector spaces --- Algebras, Linear --- Functional analysis --- Vector analysis --- Processing, Text (Computer science) --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- Subject access

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The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to be either broad and introductory or focus on some very specific technical aspect of the field. This book is a series of seventeen edited "student-authored lectures" which explore in depth the core of data mining (classification, clustering and association rules) by offering overviews that include both analysis and insight. The initial chapters lay a framework of data mining techniques by expla

Data mining. --- Database searching. --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching

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This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2016, held in Putrajaya, Malaysia, in September 2016. The 27 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on artificial neural networks; classification, clustering, visualization; fuzzy logic; information and sentiment analytics.

Computer science. --- Algorithms. --- Data mining. --- Artificial intelligence. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Artificial Intelligence (incl. Robotics). --- Algorithm Analysis and Problem Complexity. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Algorism --- Informatics --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems --- Database searching --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Soft computing --- Algebra --- Arithmetic --- Foundations