| Vorliegende Sprache |
eng |
| ISBN |
978-3-319-61844-9 |
| Name |
Tan, Ying ¬[Hrsg.]¬ |
| Takagi, Hideyuki ¬[Hrsg.]¬ |
| Name ANZEIGE DER KETTE |
Takagi, Hideyuki ¬[Hrsg.]¬ |
| Name |
Shi, Yuhui ¬[Hrsg.]¬ |
| T I T E L |
Data Mining and Big Data |
| Zusatz zum Titel |
Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings |
| Verlagsort |
Cham |
| Verlag |
Springer |
| Erscheinungsjahr |
2017 |
| 2017 |
| Umfang |
Online-Ressource (XV, 546 p. 210 illus, online resource) |
| Reihe |
Lecture Notes in Computer Science ; 10387 |
| Lecture notes in computer science |
| Band |
10387 |
| Titelhinweis |
Druckausg.ISBN: 978-3-319-61844-9 |
| Printed editionISBN: 978-3-319-61844-9 |
| ISBN |
ISBN 978-3-319-61845-6 |
| Klassifikation |
UNH |
| UDBD |
| COM032000 |
| UB |
| 005.7 |
| 005.3 |
| QA76.76.A65 |
| Kurzbeschreibung |
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 |
| 2. Kurzbeschreibung |
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 |
| SWB-Titel-Idn |
491753667 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-3-319-61845-6 |
| Internetseite / Link |
Volltext |
