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 / edited by Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras.

Format:

Book

Contributor:

Appice, Annalisa, Editor.

Loglisci, Corrado, Editor.

Manco, Giuseppe, Editor.

Masciari, Elio, Editor.

Ras, Zbigniew W., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 10785

Lecture Notes in Artificial Intelligence, 2945-9141 ; 10785

Language:

English

Subjects (All):

Data mining.

Computer arithmetic and logic units.

Social sciences-Data processing.

Artificial intelligence.

Data Mining and Knowledge Discovery.

Arithmetic and Logic Structures.

Computer Application in Social and Behavioral Sciences.

Artificial Intelligence.

Local Subjects:

Data Mining and Knowledge Discovery.

Arithmetic and Logic Structures.

Computer Application in Social and Behavioral Sciences.

Artificial Intelligence.

Physical Description:

1 online resource (XII, 197 pages) : 57 illustrations

Edition:

1st ed. 2018.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-319-78680-3

9783319786803

Access Restriction:

Restricted for use by site license.