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 sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control. . 

 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.