Computational Intelligence in Data Mining [[electronic resource] ] : Proceedings of the International Conference on ICCIDM 2018 / / edited by Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (789 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Data mining; Artificial intelligence; Computational Intelligence; Data Mining and Knowledge Discovery; Artificial Intelligence
• Persona (resp. second.): BeheraHimansu Sekhar; NayakJanmenjoy; NaikBighnaraj; PelusiDanilo
• Note generali: Includes index.
• Nota di contenuto: 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 Analysis -- Short Term Solar Energy Forecasting By using Fuzzy Logic and ANFIS -- An Effective Trajectory Planning for a Material Handling Robot using PSO Algorithm -- Prediction of Arteriovenous Nicking for Hypertensive Retinopathy using Deep Learning -- Evolutionary Games for Cloud, Fog and Edge Computing – A Comprehensive Study.
• Sommario/riassunto: 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.
• Titolo autorizzato: Computational Intelligence in Data Mining
• ISBN: 981-13-8676-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484042003321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 990