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Managing and Mining Uncertain Data contains surveys by well known researchers in the field of uncertain databases. The book presents the most recent models, algorithms, and applications in the uncertain data field in a structured and concise way. This book is organized so as to cover the most important management and mining topics in the field. The idea is to make it accessible not only to researchers, but also to application-driven practitioners for solving real problems. Given the lack of structurally organized information on the new and emerging area of uncertain data, this book provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level database students in computer science and engineering. Editor Biography Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has been a Research Staff Member at IBM since then, and has published over 120 papers in major conferences and journals in the database and data mining field. He has applied for or been granted over 65 US and International patents, and has thrice been designated Master Inventor at IBM for the commercial value of his patents. He has been granted 17 invention achievement awards by IBM for his patents. His work on real time bio-terrorist threat detection in data streams won the IBM Corporate award for Environmental Excellence in 2003. He is a recipient of the IBM Outstanding Innovation Award in 2008 for his scientific contributions to privacy technology, and a recipient of the IBM Research Division award for his contributions to stream mining for the System S project. He has served on the program committee of most major database conferences, and was program chair for the Data Mining and Knowledge Discovery Workshop, 2003, and program vice-chairs for the SIAM Conference on Data Mining 2007, ICDM Conference 2007, and the WWW Conference, 2009. He served as an associate editor of the IEEE Transactions on Data Engineering from 2004 to 2008. He is an associate editor of the ACM SIGKDD Explorations and an action editor of the Data Mining and Knowledge Discovery Journal. He is a senior member of the IEEE and a life-member of the ACM.
Applied human geography. --- Crime analysis. --- Crime prevention. --- Crime --- Applied human geography --- Crime analysis --- Criminology, Penology & Juvenile Delinquency --- Social Welfare & Social Work --- Social Sciences --- Applied anthropogeography --- Applied cultural geography --- Applied social geography --- Analysis --- Geochemistry, Biogeochemistry --- Geochemistry, Biogeochemistry. --- Brottsbekämpning. --- Crime prevention measures. --- Geographic distribution of crime. --- Measure of uncertainty (Information theory) --- Shannon's measure of uncertainty --- System uncertainty --- Crime. --- City crime --- Crime and criminals --- Crimes --- Delinquency --- Felonies --- Misdemeanors --- Urban crime --- Social aspects --- Computer science. --- Computer security. --- Database management. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Database Management. --- Artificial Intelligence (incl. Robotics). --- Information Storage and Retrieval. --- Systems and Data Security. --- Information Systems Applications (incl. Internet). --- Sociology. --- Demography. --- Criminology and Criminal Justice. --- Criminology and Criminal Justice, general. --- Sociology, general. --- Police administration --- Social problems --- Criminal justice, Administration of --- Criminal law --- Criminals --- Criminology --- Transgression (Ethics) --- Human geography --- 504 --- 550.47 --- 550.47 Biogeochemistry --- Biogeochemistry --- 504 Environment. Environmental science --- Environment. Environmental science --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- 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 --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Informatics --- Science --- Protection --- Security measures --- Uncertainty (Information theory) --- Information measurement --- Probabilities --- Questions and answers --- Biogeochemical cycles. --- Environmental chemistry. --- Environmental Sciences and Forestry. Geology --- Environmental Sciences and Forestry. Environmental Management --- Environmental Pollution. --- Biogeochemical cycles --- Environmental chemistry --- Chemistry, Environmental --- Chemistry --- Ecology --- Cycles --- Chimie de l'environnement --- Pollution --- Environmental aspects --- Pollutants --- Toxicology --- Criminology. --- Information storage and retrieva. --- Artificial Intelligence. --- Historical demography --- Social sciences --- Population --- Vital statistics --- Study and teaching --- 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 --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Social theory --- Ecology. --- Metals. --- Adsorption --- Chemical industry. --- Chemical industry --- Microbiology. --- Microbiology --- Oxidation. --- Oxidation --- Air --- Biological transport --- Photochemistry --- Plant metabolism --- Reaction (chemistry) --- Sedimentation --- Soils --- Solubility --- Chelation --- Metabolism (animal) --- Reaction kinetics --- Microbial degradation --- Asbestos --- Carbon black --- Cellulose --- Molybdenum --- Phosphorus --- ENVIRONMENTAL CHEMISTRY --- ENVIRONMENTAL TOXICOLOGY --- POLLUTION --- HYDROCARBONS, FLUORO --- MERCURY --- CADMIUM --- ALKANES --- DYES --- PIGMENTS --- ENVIRONMENTAL ASPECTS --- Amines --- Aromatic compounds --- Esters --- Phosphates --- Thallium
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Putting Crime in its Place: Units of Analysis in Geographic Criminology focuses on the units of analysis used in geographic criminology. While crime and place studies have been a part of criminology from the early 19th century, growing interest in crime places over the last two decades demands critical reflection on the units of analysis that should form the focus of geographic analysis of crime. Should the focus be on very small units such as street addresses or street segments, or on larger aggregates such as census tracts or communities? Academic researchers, as well as practical crime analysts, are confronted routinely with the dilemma of deciding what the unit of analysis should be when reporting on trends in crime, when identifying crime hot spots or when mapping crime in cities. In place-based crime prevention, the choice of the level of aggregation plays a particularly critical role. This peer reviewed collection of essays aims to contribute to crime and place studies by making explicit the problems involved in choosing units of analysis in geographic criminology. Written by renowned experts in the field, the chapters in this book address basic academic questions, and also provide real-life examples and applications of how they are resolved in cutting-edge research. Crime analysts in police and law enforcement agencies as well as academic researchers studying the spatial distributions of crime and victimization will learn from the discussions and tools presented.
Sociology --- Demography --- Criminology. Victimology --- sociologie --- demografie --- criminologie --- Criminology. --- Demography. --- Sociology. --- Criminology and Criminal Justice, general. --- Sociology, general. --- Social theory --- Social sciences --- Historical demography --- Population --- Vital statistics --- Crime --- Criminals --- Study and teaching --- Crime analysis --- Applied human geography
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