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Database Systems for Advanced Applications: DASFAA 2017 International Workshops: BDMS, BDQM, SeCoP, and DMMOOC, Suzhou, China, March 27-30, 2017, Proceedings

✍ Scribed by Zhifeng Bao, Goce Trajcevski, Lijun Chang, Wen Hua (eds.)


Publisher
Springer International Publishing
Year
2017
Tongue
English
Leaves
453
Series
Lecture Notes in Computer Science 10179
Edition
1
Category
Library

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✦ Synopsis


This book constitutes the workshop proceedings of the 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017, held in Suzhou, China, in March 2017. The 32 full papers and 5 short papers presented were carefully selected and reviewed from 43 submissions to the four following workshops: the 4th International Workshop on Big Data Management and Service, BDMS 2017; the Second International Workshop on Big Data Quality Management, BDQM 2017; the 4th International Workshop on Semantic Computing and Personalization, SeCoP 2017; and the First International Workshop on Data Management and Mining on MOOCs, DMMOOC 2017.

✦ Table of Contents


Front Matter....Pages I-XIV
Front Matter....Pages 1-1
Automatically Classify Chinese Judgment Documents Utilizing Machine Learning Algorithms....Pages 3-17
A Partitioning Scheme for Big Dynamic Trees....Pages 18-34
Optimization Factor Analysis of Large-Scale Join Queries on Different Platforms....Pages 35-46
Which Mapping Service Should We Select in China?....Pages 47-59
An Online Prediction Framework for Dynamic Service-Generated QoS Big Data....Pages 60-74
Discovering Interesting Co-location Patterns Interactively Using Ontologies....Pages 75-89
LFLogging: A Latch-Free Logging Scheme for PCM-Based Big Data Management Systems....Pages 90-102
RTMatch: Real-Time Location Prediction Based on Trajectory Pattern Matching....Pages 103-117
Online Formation of Large Tree-Structured Team....Pages 118-132
Cell-Based DBSCAN Algorithm Using Minimum Bounding Rectangle Criteria....Pages 133-144
Time-Aware and Topic-Based Reviewer Assignment....Pages 145-157
Adaptive Bayesian Network Structure Learning from Big Datasets....Pages 158-168
A Novel Approach for Author Name Disambiguation Using Ranking Confidence....Pages 169-182
Front Matter....Pages 183-183
Capture Missing Values with Inference on Knowledge Base....Pages 185-194
Weakly-Supervised Named Entity Extraction Using Word Representations....Pages 195-203
RDF Data Assessment Based on Metrics and Improved PageRank Algorithm....Pages 204-212
Efficient Web-Based Data Imputation with Graph Model....Pages 213-226
A New Schema Design Method for Multi-tenant Database....Pages 227-240
Front Matter....Pages 241-241
Reader’s Choice....Pages 243-255
Accelerating Convolutional Neural Networks Using Fine-Tuned Backpropagation Progress....Pages 256-266
Front Matter....Pages 241-241
A Personalized Learning Strategy Recommendation Approach for Programming Learning....Pages 267-274
Wikipedia Based Short Text Classification Method....Pages 275-286
An Efficient Boolean Expression Index by Compression....Pages 287-300
Front Matter....Pages 301-301
MOOCon: A Framework for Semi-supervised Concept Extraction from MOOC Content....Pages 303-315
What Decides the Dropout in MOOCs?....Pages 316-327
Exploring N-gram Features in Clickstream Data for MOOC Learning Achievement Prediction....Pages 328-339
Predicting Student Examinee Rate in Massive Open Online Courses....Pages 340-351
Task Assignment of Peer Grading in MOOCs....Pages 352-363
Predicting Honors Student Performance Using RBFNN and PCA Method....Pages 364-375
DKG: An Expanded Knowledge Base for Online Course....Pages 376-386
Towards Economic Models for MOOC Pricing Strategy Design....Pages 387-398
Using Pull-Based Collaborative Development Model in Software Engineering Courses: A Case Study....Pages 399-410
A Method of Constructing the Mapping Knowledge Domains in Chinese Based on the MOOCs....Pages 411-416
Social Friendship-Aware Courses Arrangement on MOOCs....Pages 417-422
Quality-Aware Crowdsourcing Curriculum Recommendation in MOOCs....Pages 423-428
Crowdsourcing Based Teaching Assistant Arrangement for MOOC....Pages 429-435
Quantitative Analysis of Learning Data in a Programming Course....Pages 436-441
Back Matter....Pages 443-444

✦ Subjects


Database Management;Data Mining and Knowledge Discovery;Information Storage and Retrieval;Information Systems Applications (incl. Internet);Artificial Intelligence (incl. Robotics);Computers and Education


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