Data Mining and Big Data : Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings (eBook, 2017) [WorldCat.org]
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Data Mining and Big Data : Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings

Author: Ying Tan; Hideyuki Takagi; Yuhui Shi
Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017.
Series: LNCS sublibrary., SL 3,, Information systems and applications, incl. Internet/Web, and HCI ;, 10387.
Edition/Format:   eBook : Document : English : 1st ed. 2017View all editions and formats
Summary:
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;  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ying Tan; Hideyuki Takagi; Yuhui Shi
ISBN: 3319618458 9783319618456
OCLC Number: 1167292317
Description: 1 online resource (XV, 546 p. 210 illus.).
Contents: 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.
Series Title: LNCS sublibrary., SL 3,, Information systems and applications, incl. Internet/Web, and HCI ;, 10387.
Responsibility: edited by Ying Tan, Hideyuki Takagi, Yuhui Shi.

Abstract:

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. .

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