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Time Granularities in Databases, Data Mining, and Temporal Reasoning

implementation of such applications. This book deals with several aspects of temporal information and provides a unifying model for granularities;

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Data Mining In Time Series Databases

mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods;

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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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Spatio-Temporal Databases

Spatio-Temporal Databases explores recent trends in flexible querying and reasoning about time- and space-related;

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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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Managing Time in Relational Databases

Managing Time in Relational Databases: How to Design, Update and Query Temporal Data introduces basic concepts that will enable;

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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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Handbook of Philosophical Logic

- Time depen- Horn clause operators. currentevents. dent data. with time Temporal Specification Eventcalculus. capability. indices. Sepa;

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Data Mining Concepts & Techniques

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be;

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Spatio-Temporal Databases

valuable resource for professionals and researchers studying databases, data mining, and pattern recognition.;

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Advances in Databases and Information Systems

, mining, analysis and clustering; model-driven engineering, conceptual modeling; data warehouse and multidimensional modeling, recommender systems;

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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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Web and Big Data

were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining;

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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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Web and Big Data

Analytics; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval;

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Web and Big Data

Analytics; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval;

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Database and Expert Systems Applications: 29th International Conference, Dexa 2018, Regensburg, Germany, September 3-6, 2018, Proceedings, Part I

networks; temporal and spatial databases; and graph data and road networks. The papers of the second volume discuss a range of the following topics;

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Time Series Databases - New Ways to Store and Acces Data

effective ways to collect, persist, and access large-scale time series data for analysis. You'll explore the theory behind time series databases and;

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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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Data Mining with Microsoft SQL Server 2008

about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve;

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Bioinformatics Database Systems

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;

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Bioinformatics Database Systems

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;

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