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This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management, web data management, data stream systems, and cloud computing. New in this Edition: ¢ New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. ¢ Coverage of emerging topics such as data streams and cloud computing ¢ Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.

Distributed databases --- Distributed databases. --- Administración de bases de datos.

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Inhoudsopgave. CHEMISCHE BASISSTOF. Chemie. Fysische chemie. BIOMOLECULEN. Koolhydraten. Lipiden. Aminozuren. Peptiden en eiwitten. Nucleotiden en nuclenezuren. STOFWISSELING. Enzymen. Stofwisselingsregulering. Energiestofwisseling Koolhydraatstofwisseling. Lipidestofwisseling. Eiwitstofwisseling. Stofwisseling van nucleotiden. Porfyrinestofwisseling. CELORGANELLEN. Beginselen. Cytoskelet. Celkern. Mitochondrin. Biologische membranen. ER en Golgi-apparaat. Lysosomen. MOLECULAIRE GENETICA. Gentechnologie. WEEFSELS EN ORGANEN. Spijsverteringsstelsel. Bloed. Immuunsysteem. Lever. Nieren. Spieren. Bindweefsel. Hersenen en zintuigen. VOEDING. Voedingsstoffen. Vitaminen. HORMONEN. Hormoonsystemen. Lipofiele hormonen. Hydrofiele hormonen. Andere signaalstoffen. GROEI EN ONTWIKKELING. Celproliferatie. Virussen. METABOLE KAART. Metabole kaart. Enzymlijst met verklaring. Afkortingen. Grootheden en eenheden

biochemie --- General biochemistry --- Biochemie --- 577.1 --- Chemical bases of life. Biochemistry and bio-organic chemistry generally --- Biochemie. --- 577.1 Chemical bases of life. Biochemistry and bio-organic chemistry generally

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This book constitutes the refereed joint proceedings of eight international workshops held in conjunction with the 28th International Conference on Conceptual Modeling, ER 2009, in Gramado, Brazil, in November 2009. The 33 revised full papers presented were carefully reviewed and selected from 100 submissions. Topics addressed by the workshops are active conceptual modeling of learning (ACM-L), conceptual modeling in the large (CoMoL), evolving theories of conceptual modeling (ETheCoM), workshop on foundations and practices of UML (FP-UML), joint international workshop on metamodels, ontologies, semantic technologies, and information systems for the semantic web (MOST-ONISW), quality of information systems (QoIS), requirements, Intentions and goals in conceptual modeling ( RIGiM) and semantic and conceptual issues in geographic information systems (SeCoGIS).

Programming --- Information systems --- Computer. Automation --- IR (information retrieval) --- computerbesturingssystemen --- programmeren (informatica) --- database management --- software engineering --- Conceptual structures (Information theory) --- Database design --- Relational databases --- Estructures conceptuals (Teoria de la informació) --- Disseny de bases de dades --- Bases de dades relacionals

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General biochemistry --- Biochemistry --- Biochimie --- Biochemistry. --- Biochemie --- 577.1 --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Biology --- Chemistry --- Medical sciences --- Chemical bases of life. Biochemistry and bio-organic chemistry generally --- Composition --- 577.1 Chemical bases of life. Biochemistry and bio-organic chemistry generally --- Biochimie.

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Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science. About the Editors: Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has worked as a researcher at IBM since then, and has published over 130 papers in major data mining conferences and journals. He has applied for or been granted over 70 US and International patents, and has thrice been designated a Master Inventor at IBM. He has received an IBM Corporate award for his work on data stream analytics, and an IBM Outstanding Innovation Award for his work on privacy technology. He has served on the executive committees of most major data mining conferences. He has served as an associate editor of the IEEE TKDE, as an associate editor of the ACM SIGKDD Explorations, and as an action editor of the DMKD Journal. He is a fellow of the IEEE, and a life-member of the ACM. Haixun Wang is currently a researcher at Microsoft Research Asia. He received the B.S. and the M.S. degree, both in computer science, from Shanghai Jiao Tong University in 1994 and 1996. He received the Ph.D. degree in computer science from the University of California, Los Angeles in 2000. He subsequently worked as a researcher at IBM until 2009. His main research interest is database language and systems, data mining, and information retrieval. He has published more than 100 research papers in referred international journals and conference proceedings. He serves as an associate editor of the IEEE TKDE, and has served as a reviewer and program committee member of leading database conferences and journals.

Computer science --- Database management --- Data mining --- Information storage and retrieval systems --- Information systems. --- Computer graphics --- Informatique --- Bases de données --- Exploration de données (Informatique) --- Systèmes d'information --- Infographie --- Gestion --- Bases de données --- Exploration de données (Informatique) --- Systèmes d'information --- EPUB-LIV-FT LIVINFOR SPRINGER-B