One of the most important and challenging problems in data mining is the definition of prior knowledge either from the process or the domain. Prior knowledge is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method. Data Mining with Ontologies: Implementations, Findings, and Frameworks provides a comprehensive set of methodologies and tools for the development of ontological foundations for data mining in diverse domains ranging from biomedicine to marketing. Forming a benchmark reference for future efforts to enhance capabilities in ontology utilization and design, this Premier Reference Source will be an invaluable addition to libraries worldwide.
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Hector Oscar Nigro received a systems engineer degree from UNICEN (Universidad Nacional del Centro de la Provincia de Buenos Aires), Tandil, Argentina; Magister degree in sociology and political sciences from FLACSO (Facultad Latinoamericana de Ciencias Sociales) and he is PhD from UBA (Universidad Nacional de Buenos Aires). He is a full professor in the Department of Computer Sciences and Systems in the Exact Sciences Faculty UNICEN. He is the director MERAIS III Data Mining Ontology Project (UNICEN). Also, he realizes consulting activities related to data mining, data analysis, and knowledge management for the last 15 years. His research interests are in databases, data warehouses, data mining, knowledge management, and OLAP. He has published book chapters and articles presented at various professional conferences on his research activities. Sandra Elizabeth Gonzalez CÃsaro was born in Mar del Plata, Argentina. She received a systems engineer degree from UNICEN (Universidad Nacional del Centro de la Provincia de Buenos Aires), Tandil, Argentina. She is an assistant professor at Department of Computer Sciences and Systems in the Exact Sciences Faculty, UNICEN, and she is also working on MERAIS III Data Mining Ontology Project (UNICEN). Her research interests are in databases, data warehouses, data mining, knowledge management, OLAP, symbolic data analysis and management expert systems. She has published book chapters and articles presented at various professional conferences related with her research activities. Eng. González CÃsaro is an IEEE Computer Society member. Daniel Hugo Xodo received a mathematics-physics sciences degree, industrial engineer degree and master degree in business administration from UNICEN (Universidad Nacional del Centro de la Provincia de Buenos Aires). He is a professor at Department of Computer Sciences and Systems, in the Exact Sciences Faculty, UNICEN, and a professor at UTN (Universidad Tecnológica Nacional, Regional BahÃa Blanca, Argentina). He is studies group director on knowledge management (UTN), and is working on MERAIS III Project (UNICEN). His research interests are in data mining, knowledge management, management science, balanced scorecards and operations research. He has published book chapters and has articles presented at various professional conferences related with his researching. In addition, he realizes consulting activities related to his professional field.
Héctor Oscar Nigro received a systems engineer degree from UNICEN (Universidad Nacional del Centro de la Provincia de Buenos Aires), Tandil, Argentina; Magister degree in sociology and political sciences from FLACSO (Facultad Latinoamericana de Ciencias Sociales) and he is PhD from UBA (Universidad Nacional de Buenos Aires). He is a full professor in the Department of Computer Sciences and Systems in the Exact Sciences Faculty UNICEN. He is the director MERAIS III Data Mining Ontology Project (UNICEN). Also, he realizes consulting activities related to data mining, data analysis, and knowledge management for the last 15 years. His research interests are in databases, data warehouses, data mining, knowledge management, and OLAP. He has published book chapters and articles presented at various professional conferences on his research activities. Sandra Elizabeth González CÃsaro was born in Mar del Plata, Argentina. She received a systems engineer degree from UNICEN (Universidad Nacional del Centro de la Provincia de Buenos Aires), Tandil, Argentina. She is an assistant professor at Department of Computer Sciences and Systems in the Exact Sciences Faculty, UNICEN, and she is also working on MERAIS III Data Mining Ontology Project (UNICEN). Her research interests are in databases, data warehouses, data mining, knowledge management, OLAP, symbolic data analysis and management expert systems. She has published book chapters and articles presented at various professional conferences related with her research activities. Eng. González CÃsaro is an IEEE Computer Society member. Daniel Hugo Xodo received a mathematics-physics sciences degree, industrial engineer degree and master degree in business administration from UNICEN (Universidad Nacional del Centro de la Provincia de Buenos Aires). He is a professor at Department of Computer Sciences and Systems, in the Exact Sciences Faculty, UNICEN, and a professor at UTN (Universidad Tecnológica Nacional, Regional BahÃa Blanca, Argentina). He is studies group director on knowledge management (UTN), and is working on MERAIS III Project (UNICEN). His research interests are in data mining, knowledge management, management science, balanced scorecards and operations research. He has published book chapters and has articles presented at various professional conferences related with his researching. In addition, he realizes consulting activities related to his professional field.
Héctor Oscar Nigro received a systems engineer degree from UNICEN (Universidad Nacional del Centro de la Provincia de Buenos Aires), Tandil, Argentina; Magister degree in sociology and political sciences from FLACSO (Facultad Latinoamericana de Ciencias Sociales) and he is PhD from UBA (Universidad Nacional de Buenos Aires). He is a full professor in the Department of Computer Sciences and Systems in the Exact Sciences Faculty UNICEN. He is the director MERAIS III Data Mining Ontology Project (UNICEN). Also, he realizes consulting activities related to data mining, data analysis, and knowledge management for the last 15 years. His research interests are in databases, data warehouses, data mining, knowledge management, and OLAP. He has published book chapters and articles presented at various professional conferences on his research activities. Sandra Elizabeth González CÃsaro was born in Mar del Plata, Argentina. She received a systems engineer degree from UNICEN (Universidad Nacional del Centro de la Provincia de Buenos Aires), Tandil, Argentina. She is an assistant professor at Department of Computer Sciences and Systems in the Exact Sciences Faculty, UNICEN, and she is also working on MERAIS III Data Mining Ontology Project (UNICEN). Her research interests are in databases, data warehouses, data mining, knowledge management, OLAP, symbolic data analysis and management expert systems. She has published book chapters and articles presented at various professional conferences related with her research activities. Eng. González CÃsaro is an IEEE Computer Society member. Daniel Hugo Xodo received a mathematics-physics sciences degree, industrial engineer degree and master degree in business administration from UNICEN (Universidad Nacional del Centro de la Provincia de Buenos Aires). He is a professor at Department of Computer Sciences and Systems, in the Exact Sciences Faculty, UNICEN, and a professor at UTN (Universidad Tecnológica Nacional, Regional BahÃa Blanca, Argentina). He is studies group director on knowledge management (UTN), and is working on MERAIS III Project (UNICEN). His research interests are in data mining, knowledge management, management science, balanced scorecards and operations research. He has published book chapters and has articles presented at various professional conferences related with his researching. In addition, he realizes consulting activities related to his professional field.
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web marketing, domain ontology, formal ontology, target feature type, frequent set generation, geographic database schemas, relevant feature types, protein ontology, manually constructed ontologies, data mining workflows, data mining ontology, manually constructed ontology, geographic dependences, spatial association rule mining, spatial integrity constraints, neural vector, spatial association rules, middle level concepts, web usage mining, data mining engine, petroleum data, mined knowledge, top level topics, concrete workflow, frequent sets Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Semantic Web, Enhancing the Process of Knowledge Discovery, Enhance Rule Mining, Clustering of Multilingual Documents Using, New York, Water Body, Morgan Kaufmann, Petroleum Industries, Data Integration Through Protein Ontology, Geographic Databases Using Geo-Ontologies, Western Australian, Artificial Intelligence, Nucleic Acids Research, John Wiley, San Francisco, Intelligent Systems, Retrieved May, World Wide Web, Springer Verlag, Lecture Notes, Organization Science, Information Systems, International Workshop, Intelligent Data Analysis Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
web marketing, domain ontology, formal ontology, target feature type, frequent set generation, geographic database schemas, relevant feature types, protein ontology, manually constructed ontologies, data mining workflows, data mining ontology, manually constructed ontology, geographic dependences, spatial association rule mining, spatial integrity constraints, neural vector, spatial association rules, middle level concepts, web usage mining, data mining engine, petroleum data, mined knowledge, top level topics, concrete workflow, frequent sets Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Semantic Web, Enhancing the Process of Knowledge Discovery, Enhance Rule Mining, Clustering of Multilingual Documents Using, New York, Water Body, Morgan Kaufmann, Petroleum Industries, Data Integration Through Protein Ontology, Geographic Databases Using Geo-Ontologies, Western Australian, Artificial Intelligence, Nucleic Acids Research, John Wiley, San Francisco, Intelligent Systems, Retrieved May, World Wide Web, Springer Verlag, Lecture Notes, Organization Science, Information Systems, International Workshop, Intelligent Data Analysis Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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