Data Mining and Big Data Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings /
Data Mining and Big Data Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings / [electronic resource] :
edited by Ying Tan, Hideyuki Takagi, Yuhui Shi.
- 1st ed. 2017.
- XV, 546 p. 210 illus. online resource.
- Information Systems and Applications, incl. Internet/Web, and HCI, 10387 2946-1642 ; .
- Information Systems and Applications, incl. Internet/Web, and HCI, 10387 .
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
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. .
9783319618456
10.1007/978-3-319-61845-6 doi
Application software.
Artificial intelligence.
Data mining.
Electronic digital computers--Evaluation.
Algorithms.
Computer and Information Systems Applications.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
System Performance and Evaluation.
Algorithms.
QA76.76.A65
005.3
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
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. .
9783319618456
10.1007/978-3-319-61845-6 doi
Application software.
Artificial intelligence.
Data mining.
Electronic digital computers--Evaluation.
Algorithms.
Computer and Information Systems Applications.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
System Performance and Evaluation.
Algorithms.
QA76.76.A65
005.3