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Data Mining And Uncertain Reasoning

throughout to illustrate important concepts. Data Mining and Uncertain Reasoning is a practical reference for practitioners in various interrelated;

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Querying And Mining Uncertain Data Streams

growth of possible solution space.This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams;

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Querying And Mining Uncertain Data Streams

growth of possible solution space.This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams;

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Advances in Knowledge Discovery and Data Mining

uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and;

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Advances in Knowledge Discovery and Data Mining

uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional and;

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Advances in Data Mining. Applications and Theoretical Aspects

This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de;

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Uncertainty Modeling for Data Mining

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise;

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Discovery And Fusion Of Uncertain Knowledge In Data

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent;

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Abductive Reasoning and Learning

to all areas of applied reasoning, including artificial intelligence, philosophy of science, machine learning, data mining and decision;

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Scalable Uncertainty Management

and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.;

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Abductive Reasoning and Learning

to all areas of applied reasoning, including artificial intelligence, philosophy of science, machine learning, data mining and decision;

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Data Mining with Decision Trees

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science;

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Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications

This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy;

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Scalable Uncertainty Management

and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.;

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On Uncertain Graphs

in the database and data mining communities. Many classical algorithms such as reachability and shortest path queries become #P-complete and;

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ECML PKDD 2018 Workshops

This book constitutes revised selected papers from the workshops Nemesis, UrbReas, SoGood, IWAISe, and Green Data Mining, held at the 18th;

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Graph-Based Representation and Reasoning

Web, information integration, machine learning, data mining and information retrieval.;

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Topics in Rough Set Theory

and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues;

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Topics in Rough Set Theory

and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues;

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Intelligent Data Mining Assistance

.). Having borrowed from the myriad of techniques and models available from the areas of machine learning and statistics, data mining (DM) has become;

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Query Processing over Uncertain Databases

mechanisms to handle data uncertainty. Therefore, efficient and effective manipulation of uncertain data is a practical yet challenging research;

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Active Media Technology

organized in topical sections on awareness multi-agent systems, data mining, ontology mining, web reasoning, social applications of active media;

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Scientific and Statistical Database Management

demonstration and poster papers were carefully reviewed and selected from numerous submissions. The topics covered are uncertain and probabilistic data;

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Applications and Developments in Semantic Process Mining

congruence of these two systems has created various applications and developments in data processing and analysis across several professional fields;

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Applications and Developments in Semantic Process Mining

congruence of these two systems has created various applications and developments in data processing and analysis across several professional fields;

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Database Systems for Advanced Applications

selected from a total of 287 submissions. The papers cover the following topics: data mining; data streams and time series; database storage and;

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Artificial Intelligence

conference deals with a wide range of topics, including data mining and knowledge discovery, text mining, reasoning, decisionmaking, natural language;

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