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Computational Intelligence in Data Mining

Proceedings of the International Conference on ICCIDM 2018

Specificaties
Paperback, blz. | Engels
Springer Nature Singapore | e druk, 2019
ISBN13: 9789811386756
Rubricering
Springer Nature Singapore e druk, 2019 9789811386756
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This proceeding discuss the latest solutions, scientific findings and methods for solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of the strengths and weaknesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields.

Specificaties

ISBN13:9789811386756
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

Inhoudsopgave

Cluster Validity using Modified Fuzzy Silhouette Index on Large Dynamic Data Set.- Graph Based Crime Reports Clustering using Relations Extracted from Named Entities.- A Comprehensive Analysis of Kernelized Hybrid Clustering Algorithms With Firefly and Fuzzy Firefly Algorithms.- A Novel Position Concealment Audio Steganography in Insensible Frequency.- Improving Stock Market Prediction through Linear Combiners of Predictive Models.- Optimizing Generalized Capacitated Vehicle Routing problem using Augmented Savings Algorithm.- Prevention of Ethnic Violence and Riots using Supervised Rumor Detection.- Survey on Plagiarism Detection Systems and their Comparison.- A Generic Frame Work for Data Analysis in Privacy Preserving Data Mining.- Big Data Mining Algorithms for Predicting Dynamic Product Price by Online&nbsp; Analysis.- Short Term Solar Energy Forecasting By using Fuzzy Logic and ANFIS.- An Effective Trajectory Planning for a Material Handling Robot using PSO Algorithm.- Predictionof Arteriovenous Nicking for Hypertensive Retinopathy&nbsp;using Deep Learning.- Evolutionary Games for Cloud, Fog and Edge Computing – A Comprehensive Study.<p></p><br>

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        Computational Intelligence in Data Mining