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Temporal Data Mining

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business;

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Temporal Data Mining

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business;

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Temporal Data Mining via Unsupervised Ensemble Learning

Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with;

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Foundations of Computational Intelligence 06

techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part;

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Foundations of Intelligent Systems

informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining;

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Data Mining

Thorough in its coverage from basic to advanced topics, this book presents the key algorithms and techniques used in data mining. An;

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Advances in Data and Web Management

, P2P systems, sensor networks, spatial and temporal databases, Web mining, XML and semi-structured data, privacy and security, as well as data;

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Advances in Knowledge Discovery and Data Mining

-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system;

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Advances in Knowledge Discovery and Data Mining

-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system;

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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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Outlier Detection for Temporal Data

statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier;

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Event Mining for Explanatory Modeling

is introduced to frameworks for temporal knowledge representation and reasoning, as well as temporal data mining and pattern discovery. Also discussed;

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Event Mining for Explanatory Modeling

is introduced to frameworks for temporal knowledge representation and reasoning, as well as temporal data mining and pattern discovery. Also discussed;

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Advanced Data Mining and Applications

analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos.;

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Advanced Data Mining and Applications

; Recommender Systems; Social Network and Social Media; Behavior Modeling and User Profiling; Text and Multimedia Mining; Spatial-Temporal Data; Medical;

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Advances in Knowledge Discovery and Data Mining

supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and;

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Advances in Knowledge Discovery and Data Mining

supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and;

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Advances in Knowledge Discovery and Data Mining

supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and;

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New Frontiers in Mining Complex Patterns

developments in the analysis of complex and massive data sources, such as blogs, event or log data, medical data, spatio-temporal data, social networks;

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Advances in Knowledge Discovery and Data Mining

multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal;

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Advances in Knowledge Discovery and Data Mining

multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal;

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Artificial Intelligence in Medicine

organized in the following topical sections: process mining and phenotyping; data mining and machine learning; temporal data mining; uncertainty and;

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Data Mining In Time Series Databases

representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally;

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Advances in Spatio-Temporal Analysis

geographical information systems. Spatio-temporal analysis embodies spatial modelling, spatio-temporal modelling and spatial reasoning and data mining;

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Foundations of Intelligent Systems

systems, mining complex patterns, novelty detection and class imbalance, social data analysis, spatio-temporal analysis, and topic modeling and;

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Web Technologies and Applications

, China, in September 2016: the Second International Workshop on Web Data Mining and Applications, WDMA 2016, the First International Workshop on;

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