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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Pattern Mining with Evolutionary Algorithms

This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal;

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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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Machine Learning and Data Mining in Pattern Recognition

from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific;

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Machine Learning and Data Mining in Pattern Recognition

submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to;

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Machine Learning and Data Mining in Pattern Recognition

169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data;

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Machine Learning and Data Mining in Pattern Recognition

. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods;

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Data Mining

, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model;

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Machine Learning and Data Mining in Pattern Recognition

and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two;

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Machine Learning and Data Mining in Pattern Recognition

classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image;

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Preference-based Spatial Co-location Pattern Mining

mining refers to mining constrained or condensed co-location patterns instead of mining all prevalent co-location patterns. Based on the authors;

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Data Mining Concept Animation Library

Data mining is the automated extraction of hidden predictive information from large data sets. To study new algorithms or compare different;

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Spatiotemporal Patterns in Ecology and Epidemiology

of pattern formation, Spatiotemporal Patterns in Ecology and Epidemiology: Theory, Models, and Simulation illustrates how mathematical modeling and;

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Spatiotemporal Patterns in Ecology and Epidemiology

of pattern formation, Spatiotemporal Patterns in Ecology and Epidemiology: Theory, Models, and Simulation illustrates how mathematical modeling and;

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Spatio-Temporal Databases

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

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Finding Frequent Trajectories of Dynamic Objects

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Globalizing the Caribbean

around the region, as national regulations are reworked to promote conditions benefiting private capital. Globalizing the Caribbean offers a;

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Globalizing the Caribbean

around the region, as national regulations are reworked to promote conditions benefiting private capital. Globalizing the Caribbean offers a;

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Web and Wireless Geographical Information Systems

including spatiotemporal data collection, processing and visualization, mobile user generated content, semantic trajectories, locationbased Web;

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Real-Time Business Intelligence & Frequent Pattern Mining Algorithm

involves a lot of memory and CPU costs. In this book, I present a new algorithm for mining frequent itemsets which will decrease CPU cost and;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern;

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Geographic Data Mining and Knowledge Discovery

from spatiotemporal and mobile objects databases Geographic data mining and knowledge discovery is a promising young discipline with many;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

This book constitutes the refereed conference proceedings of the 24rd Iberoamerican Congress on Pattern Recognition, CIARP 2019, held;

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Spatial Data Mining

spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and;

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