New Frontiers in Mining Complex Patterns -

New Frontiers in Mining Complex Patterns

6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers
Buch | Softcover
XII, 197 Seiten
2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-78679-7 (ISBN)
53,49 inkl. MwSt

This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.
The workshop was aimed at discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery. Finally, it encouraged the integration of recent results from existing fields, such as Statistics, Machine Learning and Big Data Analytics.

Learning Association Rules for Pharmacogenomic Studies.- Segment-Removal Based Stuttered Speech Remediation.- Identifying lncRNA-disease Relationships via Heterogeneous Clustering.- Density Estimators for Positive-Unlabeled Learning.- Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum.- A Scaled-Correlation Based Approach for Defining and analyzing functional networks.- Complex Localization in the Multiple Instance Learning Context.- Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform.- Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load.- Phenotype Prediction with Semi-supervised Classification Trees.- Structuring the Output Space in Multi-label Classification by Using Feature Ranking.- Infinite Mixtures of Markov Chains.- Community-based Semantic Subgroup Discovery.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XII, 197 p. 57 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 329 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Schlagworte Applications • Artificial Intelligence • classification • cluster analysis • Clustering • Computer Science • conference proceedings • Data Mining • data stream mining • Ensemble methods • Feature Selection • Informatics • Logic Programming • machine learning • machine learning approaches • Meta-learning • multi-task learning • network analysis • Research • Social Networks • supervised learning
ISBN-10 3-319-78679-2 / 3319786792
ISBN-13 978-3-319-78679-7 / 9783319786797
Zustand Neuware
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