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Das dem MIT angehörende Senseable City Lab unter Carlo Ratti ist eines der Forschungszentren, die sich mit den Strömen von Menschen und Waren, aber auch von Müll beschäftigen, die sich um den Globus bewegen. Erfahrungen mit infrastrukturellen Großprojekten legen nahe, dass immer komplexere und vor allem flexiblere Antworten auf Fragen des Transports oder der Entsorgung gesucht werden müssen. Der von Dietmar Offenhuber und Carlo Ratti herausgegebene Band zeigt, wie Big Data die Realität und damit die Beschäftigung mit der Stadt verändern. Er diskutiert die Auswirkungen von Echtzeitdaten auf Architektur und Stadtplanung anhand von Beispielen, die im Senseable City Lab erarbeitet wurden: Sie demonstrieren, wie das Lab digitale Daten als Material interpretiert, das für die Formulierung einer anderen urbanen Zukunft herangezogen werden kann. Nicht übersehen werden dabei die Schattenseiten der stadtbezogenen Datenerfassung und -steuerung.Die Autoren thematisieren Fragestellungen, mit welchen sich die planenden Disziplinen in der Stadt in Zukunft intensiv beschäftigen werden: Fragestellungen, die die bisherigen Aufgaben und das Selbstverständnis der beteiligten Professionen nicht nur radikal in Zweifel ziehen, sondern fundamental verändern werden. The MIT based SENSEable City Lab under Carlo Ratti is one of the research centers that deal with the flow of people and goods, but also of refuse that moves around the world. Experience with large-scale infrastructure projects suggest that more complex and above all flexible answers must be sought to questions of transportation or disposal. This edition, edited by Dietmar Offenhuber and Carlo Ratti, shows how Big Data change reality and, hence, the way we deal with the city. It discusses the impact of real-time data on architecture and urban planning, using examples developed in the SENSEable City Lab. They demonstrate how the Lab interprets digital data as material that can be used for the formulation of a different urban future. It also looks at the negative aspects of the city-related data acquisition and control. The authors address issues with which urban planning disciplines will work intensively in the future: questions that not only radically and critically review, but also change fundamentally, the existing tasks and how the professions view their own roles.

711.4 --- 71.037 --- 13 --- 004 --- 004.38 --- 07 --- Stedenbouw (theorie) --- 21ste eeuw (stedenbouw) --- Eenentwintigste eeuw (stedenbouw) --- Cultuurfilosofie --- Computertechnologie --- Computers --- ICT --- Internet --- Mediawezen --- Data mining. --- City planning --- Exploration de données (Informatique) --- Urbanisme --- Data processing. --- Informatique --- 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 presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algorithms and deep dives into several applications make the book equally useful for researchers, students and practitioners.

Machine learning --- Data mining --- Parallel algorithms --- Parallel programs (Computer programs) --- Apprentissage automatique --- Exploration de données (Informatique) --- Algorithmes parallèles --- Programmes parallèles (Logiciels) --- Exploration de données (Informatique) --- Algorithmes parallèles --- Programmes parallèles (Logiciels) --- Machine Learning --- Machine learning. --- Data mining. --- Parallel algorithms. --- Parallel computer programs --- Parallel processing (Electronic computers) --- Computer programs --- Algorithms --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Learning, Machine --- Artificial intelligence --- Machine theory

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A practical guide to using web metrics to measure impact and demonstrate value. The web provides an opportunity to collect a host of different metrics, from those associated with social media accounts and websites to more traditional research outputs. This book is a clear guide for library and information professionals as to what web metrics are available and how to assess and use them to make informed decisions and demonstrate value. As individuals and organizations increasingly use the web in addition to traditional publishing avenues and formats, this book provides the tools to unlock web metrics and evaluate the impact of this content.

Information retrieval --- Computer architecture. Operating systems --- Library research --- Mass communications --- Webometrics --- Data mining. --- Library science. --- Cybermétrie --- Exploration de données (Informatique) --- Bibliothéconomie --- Resource description & access. --- Data mining --- Web usage mining --- Internet usage --- -Web site --- -028.7 --- Analysis, Web usage --- Analytics, Web --- Mining, Web usage --- Web analytics --- Web usage analysis --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Statistics --- -Data processing --- Evaluation. --- Webometrics. --- Cybermétrie --- Exploration de données (Informatique) --- Bibliothéconomie --- Librarianship --- Library economy --- Bibliometry, Web --- Cybermetrics --- Internetometrics --- Metrics, Web --- Netometrics --- Web bibliometry --- Web metrics --- Webometry --- RDA --- RDA: resource description & access --- RDA: resource description and access --- Resource description and access --- Bibliography --- Documentation --- Information science --- Quantitative research --- World Wide Web --- Research --- Library science --- Resource description & access --- Internet --- Librarians --- Library Services --- Research Support as Topic --- Information Storage and Retrieval --- utilization --- organization and administration --- Internet - utilization --- Library Services - organization and administration

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Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. This book explains and explores the principal techniques of Data Mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples & explanations of the algorithms given. It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help the general reader develop the necessary understanding to use commercial data mining packages discriminatingly, as well as enabling the advanced reader or academic researcher to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.

Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- IR (information retrieval) --- data mining --- programmeren (informatica) --- database management --- robots --- Data mining. --- Data structures (Computer science) --- Information theory. --- Information storage and retrieval systems. --- Database management. --- Artificial intelligence. --- Computer science. --- Data Structures and Information Theory. --- Theory of Computation. --- Information Storage and Retrieval. --- Database Management. --- Artificial Intelligence. --- Programming Techniques. --- Data mining --- Exploration de données (Informatique) --- EPUB-LIV-FT LIVINFOR SPRINGER-B --- Data structures (Computer science). --- Computers. --- Information storage and retrieval. --- Computer programming. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- 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 --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Programming

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The World Wide Web is a rich source of information about human behavior. It containslarge amount of data organizedvia interconnected Web pages,traces of information search, user feedback on items of interest, etc. In addition to large data volumes, one of the important characteristics of the Web is its dynamics, where content,structure and usagearechanging over time. This showsup in the rise of related research areas like communities of practice, knowledge mana- ment, Web communities, and peer-to-peer. In particular the notion of colla- rative work and thus the need of its systematic analysis become more and more important. For instance, to develop e?ective Web applications, it is essential to analyze patterns hidden in the usage of Web resources, their contents and their interconnections. Machine learning and data mining methods have been used extensively to ?nd patterns in usage of the network by exploiting both contents and link structures. We have investigated these topics in a series of workshops on Semantic Web Mining (2001, 2002) at the European Conference on Machine Learning / Pr- ciples and Practice of Knowledge Discovery from Databases (ECML/PKDD) conference series, in the selection of papers for the post-proceedings of the - ropean Web Mining Forum 2003 Workshop, published as the Springer LNAI volume 3209 “Web Mining: From Web to Semantic Web” in 2004, as well as in the Knowledge Discovery and Ontologies workshop in 2004 and in the selection ofpapersfor thepost-proceedingsofthe ECML/PKDD2005jointworkshopson Web Mining (European Web Mining Forum) and on Knowledge Discovery and.

Web usage mining --- Internet users --- Data mining --- World Wide Web (Information retrieval system) --- Internet searching --- Analyse du comportement des internautes (Informatique) --- Internautes --- Exploration de données (Informatique) --- World Wide Web (Système d'information) --- Recherche sur Internet --- Congresses --- Congrès --- World Wide Web --- Computer Science --- Library & Information Science --- Engineering & Applied Sciences --- Social Sciences --- Exploration de données (Informatique) --- World Wide Web (Système d'information) --- Congresses. --- Congrès --- EPUB-LIV-FT SPRINGER-B --- Analysis, Web usage --- Analytics, Web --- Mining, Web usage --- Web analytics --- Web usage analysis --- Web users --- World Wide Web users --- Searching the Internet --- Web searching --- World Wide Web searching --- Computer science. --- Computer communication systems. --- Database management. --- Data mining. --- Artificial intelligence. --- Computers and civilization. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Data Mining and Knowledge Discovery. --- Computer Communication Networks. --- Database Management. --- Information Systems Applications (incl. Internet). --- Computers and Society. --- Civilization and computers --- Civilization --- 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 --- Informatics --- Science --- 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 --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Distributed processing --- Computer users --- Personal Internet use in the workplace --- Electronic information resource searching --- Artificial Intelligence. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software