Data Mining and Big Data
Springer International Publishing (Verlag)
978-3-319-61844-9 (ISBN)
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-SpatialMineral 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 Ad
| Erscheinungsdatum | 01.08.2017 |
|---|---|
| Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
| Zusatzinfo | XV, 546 p. 210 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 854 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Schlagworte | Algorithm analysis and problem complexity • Algorithms & Data Structures • Algorithms & data structures • Applications • Artificial Intelligence • artificial intelligence (incl. robotics) • Big Data • classification algorithm • Computer aided instruction • Computer Science • conference proceedings • Data communication systems • Data Mining • data mining and knowledge discovery • Data Stream • Expert systems / knowledge-based systems • Fuzzy Systems • Genetic algorithms • Informatics • Information Retrieval • information systems applications (incl. internet) • Internet • Internet Searching • Learning Algorithms • Learning Systems • mobile computing • Mobile Devices • Neural networks • Research • Robotics • Social Networks (SN) • Support Vector Machines • SVM • system performance and evaluation • systems analysis & design • Systems analysis & design • Telecommunication networks • World Wide Web (WWW) |
| ISBN-10 | 3-319-61844-X / 331961844X |
| ISBN-13 | 978-3-319-61844-9 / 9783319618449 |
| Zustand | Neuware |
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