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Complex Pattern Mining

the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource;

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Complex Pattern Mining: New Challenges, Methods and Applications

the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource;

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New Frontiers in Mining Complex Patterns

International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2016, held in conjunction with ECML-PKDD 2016 in Riva del Garda, Italy;

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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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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern;

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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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New Frontiers in Mining Complex Patterns

Complex Patterns, NFMCP 2013, held in conjunction with ECML/PKDD 2013 in Prague, Czech Republic, in September 2013. The 16 revised full papers;

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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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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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Supervised Descriptive Pattern Mining

This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those;

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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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Pattern Recognition

A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex;

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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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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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Sequence Data Mining

thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers;

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Knowledge Discovery in Multiple Databases

for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local;

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Data Mining With Decision Trees

and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it;

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Spatio-Temporal Databases

This brief presents several new query processing techniques, called complex motion pattern queries, specifically designed for very large;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Evolutionary Synthesis of Pattern Recognition Systems

Integrates computer vision, pattern recognition, and AI. Presents original research that will benefit researchers and professionals;

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Managing and Mining Graph Data

of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern;

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Managing and Mining Graph Data

of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern;

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Advanced Data Mining and Applications

, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications;

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