Data Mining and Big Data Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Tan, Ying (Επιμελητής έκδοσης), Takagi, Hideyuki (Επιμελητής έκδοσης), Shi, Yuhui (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Lecture Notes in Computer Science, 10387
• Θέματα: Computer science.; Computer system failures.; Algorithms.; Data mining.; Artificial intelligence.; Computer Science.; Information Systems Applications (incl. Internet).; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; System Performance and Evaluation.; Algorithm Analysis and Problem Complexity.

This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical s...

Πίνακας περιεχομένων:

• Association Analysis
• A Process for Exploring Employees' Relationships via Social Network and Sentiment Analysis
• Mining Relationship between User Purposes and Product Features towards Purpose-Oriented Recommendation
• Finding Top-k Fuzzy Frequent Itemsets from Databases
• Association Rule Mining in Healthcare Analytics
• Does Student's Diligence to Study Relate to His/Her Academic Performance
• Correlation anaylsis of diesel engine performance testing data based on mixed-copula method
• Clustering
• Comparative Study of Apache Spark MLlib Clustering Algorithms
• l-DP algorithm: a hybrid density peaks clustering
• Prediction
• Incremental Adaptive Time Series Prediction for Power Demand Forecasting
• Food Sales Prediction with Meteorological Data { A Case Study of a Japanese Chain Supermarket
• Cascade Spatial Autoregression for Air Pollution Prediction
• Machine Learning Techniques for Prediction of Pre-fetched Objects in Handling Big Data Storage
• Classification
• Spectral-Spatial Mineral Classification Of Lunar Surface Using Band Parameters With Active Learning
• R2CEDM: A Rete-based RFID Complex Event Detection Method
• Learning Analytics for SNS-Integrated Virtual Learning Environment
• LBP vs. LBP Variance for Texture Classification
• A Decision Tree Of Ignition Point For Simple Inflammable Chemical Compounds
• Analyzing Consumption Behaviors of Pet Owners in a Veterinary Hospital
• Schedule and Sequence Analysis
• Modeling Inter-Country Connection from Geotagged News Reports: A Time-Series Analysis
• Mining Sequential Patterns of Students' Access on Learning Management System
• Design of a dynamic electricity trade scheduler based on genetic algorithms
• Increasing Coverage of Information Spreading in Social Networks with Supporting Seeding
• Big Data
• B-Learning and Big Data: Use in Training an Engineering Course
• Mapping Knowledge Domain Research in Big Data: From 2006 to 2016
• Template based Industrial Big Data Information Extraction and Query System
• Finding the Typical Communication Black Hole in Big Data Environment
• A Solution for Mining Big Data Based on Distributed Data Streams and Its Classifying Algorithms
• Data Analysis
• Design of a Quality-Aware Data Capture System
• Data Architecture for the Internet of Things and Industry 4.0
• Machine Learning in Data Lake for Combining Data Silos
• Development of 3D Earth Visualization for Taiwan Ocean Environment Demonstration
• Exploring Potential Use of Mobile Phone Data Resource to Analyze Inter-Regional Travel Patterns in Japan
• REBUILD:Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network
• Study A Join Query Strategy over Data Stream Based on Sliding Windows
• Data Mining
• L2 Learners' Proficiency Evaluation Using Statistics Based on Relationship among CEFR Rating Scales
• Research Hotspots and Trends in Data Mining: From 1993 to 2016
• Proposal for a New Reduct Method for Decision Tables and an Improved STRIM
• Post-marketing Drug Safety Evaluation using Data Mining Based on FAERS
• Crowd density estimation from few RF tracking devices: I. Modelling Framework
• Text Mining
• Mining Textual Reviews with Hierarchical Latent Tree Analysis
• Extraction of Temporal Events from Clinical Text using Semi-Supervised Conditional Random Fields
• Characteristics of language usage in inquires asked to an online help desk
• Deep Learning
• A Novel Diagnosis Method for SZ by Deep Neural Networks
• A Novel Data-driven Fault Diagnosis Method Based on Deep Learning
• High Performance Computing
• Simulated Precipitation and Reservoir Inflow in the Chao Phraya River Basin by Multi-Model Ensemble CMIP3 & CMIP5
• An IDL-Based Parallel Model for Scientific Computations on Multi-Core Computers
• Accelerating Redis with RDMA over InfiniBand
• Knowledge Base and its Framework
• Application of Decision Trees in the Development of a Knowledge Base for a System of Support for Revitalization Processes
• ABC Metaheuristic Based Optimized Adaptation Planning Logic for Decision Making Intelligent Agents in Self Adaptive Software System
• A Knowledge-based Framework for Mitigating Hydro-Meteorological Disasters
• Fuzzy Control
• Improved Stability and Stabilization Criteria for T-S Fuzzy Systems with Distributed Time-Delay
• Adaptive Neuro-Fuzzy Inference System: Overview, Strengths, Limitations, and Solutions
• Acquisition of Knowledge in the Form of Fuzzy Rules for Cases Classification.