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: Lecture Notes in Computer Science, cartea 10785
Editat de Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Rasen Limba Engleză Paperback – 24 mar 2018
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.
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Specificații
ISBN-13: 9783319786797
ISBN-10: 3319786792
Pagini: 300
Ilustrații: XII, 197 p. 57 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319786792
Pagini: 300
Ilustrații: XII, 197 p. 57 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
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.