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Computer architecture --- Programming languages (Electronic computers) --- Ordinateurs --- Langages de programmation --- Architecture --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- Architecture, Computer --- Computer architecture. --- Programming languages (Electronic computers). --- Architecture des ordinateurs --- Architecture des ordinateurs. --- Langages de programmation.

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Vlsi --- Architecture --- Tutorial --- Ieee --- Hardware --- Microprocessors --- Computer architecture --- Programming languages (Electronic computers)

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In this book, the authors describe how Mind Genomics works - a revolutionary marketing method that combines the three sciences of Mathematics, Psychology, and Economics - in a masterful way. Mind Genomics helps the seller of products and services to know what people are thinking about them before one ever commits to an approach by knowing what is important to the people one is trying to influence. Mind Genomics identifies what aspects of a general topic are important to the audience, how different people in the audience will respond to different aspects of that topic, and how to pinpoint the viewpoints of different audience segments to each aspect of the topic. A careful step by step approach explains what activities ought to be taken and what scenarios must be followed while applying this method in order to find the right way to capture the hearts and minds of targeted audiences. This book explains how Mind Genomics plays a matching game with one’s potential audience and various ways one can present the products and ideas resulting in a systematic approach to influencing others, backed by real data; how one can play with ideas, see patterns imposed by the mind and create new, inductive, applied sciences of the mind, measuring the world using the mind of man as the yardstick. In details it describes how everyday thought is transferred into actionable data and results. Whether one is a senior marketer for a large corporation, a professor at a university, or administrator at a hospital, one could use Mind Genomics to learn how to transform available information into actionable steps that will increase the products sales, or increase the number of interested students for a new university program, or the number of satisfied patients in the hospital with their medical conditions kept at highest levels after leaving it.   Mind Genomics was first introduced by Dr. Howard Moskowitz, an alumnus of Harvard University and the father of Horizontal Segmentation - a widely accepted business model for targeted marketing and profit maximization. .

Business. --- Marketing. --- Data mining. --- Behavioral sciences. --- Behavioral economics. --- Business and Management. --- Data Mining and Knowledge Discovery. --- Behavioral Sciences. --- Behavioral/Experimental Economics. --- Market surveys. --- Marketing research. --- Target marketing. --- Market targeting --- Target markets --- Market research --- Marketing --- Markets --- Retail trading areas --- Research --- Research, Industrial --- Advertising --- Consumption (Economics) --- Economic surveys --- Marketing research --- Advertising campaigns --- Consumer behavior --- Public opinion polls --- Surveys --- Animal behavior. --- Behavioral economics --- Behavioural economics --- Animals --- Animals, Habits and behavior of --- Behavior, Animal --- Ethology --- Animal psychology --- Zoology --- Ethologists --- Psychology, Comparative --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Consumer goods --- Domestic marketing --- Retail marketing --- Retail trade --- Industrial management --- Aftermarkets --- Selling --- Behavior

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This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business. The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: DataFlow Supercomputing Essentials: Research, Development and Education, DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, and Guide to DataFlow Supercomputing. Topics and Features: Introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph Describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user Showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm Reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure Presents an algorithm for spherical code design, based on the variable repulsion force method Discusses the implementation of a face recognition application, using the DataFlow paradigm Proposes a method for region of interest-based image segmentation of mammogram images on high-performance reconfigurable DataFlow computers Surveys a diverse range of DataFlow applications in physics simulations, and investigates a DataFlow implementation of a Bitcoin mining algorithm This unique volume will prove a valuable reference for researchers and programmers of DataFlow computing, and supercomputing in general. Graduate and advanced undergraduate students will also find that the book serves as an ideal supplementary text for courses on Data Mining, Microprocessor Systems, and VLSI Systems.

Computer networks. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Distributed processing --- Computer Communication Networks. --- Telecommunication. --- Big data. --- Computer science. --- Data transmission systems. --- Communications Engineering, Networks. --- Big Data. --- Computation by Abstract Devices. --- Input/Output and Data Communications. --- Data communication systems --- Transmission of data --- Information theory --- Telecommunication systems --- Informatics --- Science --- Data sets, Large --- Large data sets --- Data sets --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Telecommuting --- Computer communication systems. --- Electrical engineering. --- Computers. --- Input-output equipment (Computers). --- Computer hardware --- Computer I/O equipment --- Computers --- Electronic analog computers --- Electronic digital computers --- Hardware, Computer --- I/O equipment (Computers) --- Input equipment (Computers) --- Input-output equipment (Computers) --- Output equipment (Computers) --- Computer systems --- Automatic computers --- Automatic data processors --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Electric engineering --- Engineering --- Input-output equipment

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Memory management (Computer science) --- Multiprocessors --- Cache memory --- Systems software