Fuzzy systems and data mining II : proceedings of FSDM 2016

Fuzzy systems and data mining II : proceedings of FSDM 2016 / edited by Shilei Sun, Antonio J. Tallón-Ballesteros, Dragan S. Pamučar and Feng Liu.

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Bibliographic Details
Corporate Author: International Conference on Fuzzy Systems and Data Mining Macau, China
Other Authors: Sun, Shilei (Editor), Tallón-Ballesteros, A. J. (Editor), Pamučar, D. S. (Editor), Liu, Feng (Editor)
Format: eBook
Language:English
Published: Amsterdam, Netherlands : IOS Press, 2016.
Series:Frontiers in artificial intelligence and applications ; v. 293.
Subjects:
Fuzzy systems > Congresses.
Data mining > Congresses.
MATHEMATICS > General.
Data mining
Fuzzy systems
Conference papers and proceedings
Online Access:Click for online access
Table of Contents:
  • Title Page; Preface; Contents; Fuzzy Control, Theory and System; Cumulative Probability Distribution Based Computational Method for High Order Fuzzy Time Series Forecasting; Introduction to Fuzzy Dual Mathematical Programming; Forecasting National Football League Game Outcomes Based on Fuzzy Candlestick Patterns; A Fuzzy Control Based Parallel Filling Valley Equalization Circuit; Interval-Valued Hesitant Fuzzy Geometric Bonferroni Mean Aggregation Operator; A New Integrating SAW-TOPSIS Based on Interval Type-2 Fuzzy Sets for Decision Making.
  • Algorithms for Finding Oscillation Period of Fuzzy TensorsToward a Fuzzy Minimum Cost Flow Problem for Damageable Items Transportation; Research on the Application of Data Mining in the Field of Electronic Commerce; A Fuzzy MEBN Ontology Language Based on OWL2; State Assessment of Oil-Paper Insulation Based on Fuzzy Rough Sets; Finite-Time Stabilization for T-S Fuzzy Networked Systems with State and Communication Delay; A Trapezoidal Fuzzy Multiple Attribute Decision Making Based on Rough Sets; Fuzzy Rule-Based Stock Ranking Using Price Momentum and Market Capitalization.
  • Adaptive Fuzzy Sliding-Mode Control of Robot and SimulationHesitant Bipolar Fuzzy Set and Its Application in Decision Making; Chance Constrained Twin Support Vector Machine for Uncertain Pattern Classification; Set-Theoretic Kripke-Style Semantics for Monoidal T-Norm (Based) Logics; Data Mining; Dynamic Itemset Mining Under Multiple Support Thresholds; Deep Learning with Large Scale Dataset for Credit Card Data Analysis; Probabilistic Frequent Itemset Mining Algorithm over Uncertain Databases with Sampling; Priority Guaranteed and Energy Efficient Routing in Data Center Networks.
  • Yield Rate Prediction of a Dynamic Random Access Memory Manufacturing Process Using Artificial Neural NetworkMining Probabilistic Frequent Itemsets with Exact Methods; Performance Degradation Analysis Method Using Satellite Telemetry Big Data; A Decision Tree Model for Meta-Investment Strategy of Stock Based on Sector Rotating; Virtualized Security Defense System for Blurred Boundaries of Next Generation Computing Era; Implicit Feature Identification in Chinese Reviews Based on Hybrid Rules; Characteristics Analysis and Data Mining of Uncertain Influence Based on Power Law.
  • Hazardous Chemicals Accident Prediction Based on Accident State Vector Using Multimodal DataRegularized Level Set for Inhomogeneity Segmentation; Exploring the Non-Trivial Knowledge Implicit in Test Instance to Fully Represent Unrestricted Bayesian Classifier; The Factor Analysis's Applicability on Social Indicator Research; Research on Weapon-Target Allocation Based on Genetic Algorithm; PMDA-Schemed EM Channel Estimator for OFDM Systems; Soil Heavy Metal Pollution Research Based on Statistical Analysis and BP Network; An Improved Kernel Extreme Learning Machine for Bankruptcy Prediction.

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