Web Technologies and Applications
Springer International Publishing (Verlag)
978-3-319-25254-4 (ISBN)
This book constitutes the refereed proceedings of the 17th Asia-Pacific Conference APWeb 2015 held in Guangzhou, China, in September 2015.
The 67 full papers and presented together with 3 industrial track papers and 7 demonstration track papers were carefully reviewed and selected from 146 submissions. The papers cover a wide spectrum of Web-related data management problems, and provide a thorough view on the rapid advances of technical solutions.
On TheMarriage of SPARQL and Keywords.- An Online Inference Algorithm for LabeledLatent Dirichlet Allocation.- Efficient Buffer Management for PCM-EnhancedHybrid Memory Architecture.- Efficient Location-dependent Skyline Queries in WirelessBroadcast Environments.- Distance and Friendship: A Distance-based Model forLink Prediction in Social Networks.- Multi-Label Emotion Tagging for OnlineNews by Supervised Topic Model.- Distinguishing Specific and Daily topics.- MatchingReviews to Object Based on 2-Stage CRF.- Discovering Restricted RegularExpressions with Interleaving.- Efficient Algorithms for Distance-basedRepresentative Skyline Computation in 2D Space.- Trustworthy CollaborativeFiltering through Downweighting Noise and Redundancy.- A Co-Ranking Frameworkto Select Optimal Seed Set for Influence Maximization in Heterogeneous Network.-Hashtag Sense Induction Based on Co-Occurrence Graphs.- Hybrid-LSH forSpatio-Textual Similarity Queries.- Sleep Quality Evaluation of ActiveMicroblog Users.- Distributed XML Twig Query Processing using MapReduce.- SentimentWord Identification with Sentiment Contextual Factors.- Large-Scale GraphClassification based on Evolutionary Computation with Map Reduce.- MultipleAttribute Aware Personalized Ranking.- Knowledge Base Completion Using MatrixFactorization.- MATAR: Keywords Enhanced Multi-Label Learning for TagRecommendation.- Reverse Direction-based Surrounder Queries.- Learning to Hashfor Recommendation with Tensor Data.- Spare Part Demand Prediction based onContext-aware Matrix Factorization.- Early Outbreak Detection in SocialNetworks.- Location Sensitive Friend Recommendation in Social Network.- ACompression-Based Filtering Mechanism in Content-Based Publish/Subscribe System.-Sentiment Classification for Chinese Product Reviews Based on SemanticRelevance of Phrase.- Overlapping Schema Summarization based on Multi-labelPropagation.- Analysis of Subjective City Happiness Index Based on Large ScaleMicroblog Data.- Tree-Based Metric Learning for Distance Computation in DataMining.- GSCS - Graph Stream Classification with Side Information.- ASupervised Parameter Estimation Method of LDA.- Learning Similarity Functionsfor Urban Events Detection by Mining Hotline Phone Records.- Answering SpatialApproximate Keyword Queries on Disks.- Hashing Multi-Instance Data from Bag andInstance Level.- A Multi-news Timeline Summarization Algorithm Based on AgingTheory.- Extended Strategies for Document Clustering with Word Co-occurrences.-A Lightweight Evaluation Framework for Table Layouts in MapReduce Based QuerySystems.- An Extended Graph-based Label Propagation Method for ReadabilityAssessment.- Simple is Beautiful: An Online Collaborative FilteringRecommendation Solution with Higher Accuracy.- Random-based Algorithm forEfficient Entity Matching.- A New Similarity Measure Between SemanticTrajectories based on Road Networks.- Effective Citation Recommendation byUnbiased Reference Priority Recognition.- UserGreedy: Exploiting the ActivationSet to Solve Influence Maximization Problem.- AILabel: A Fast Interval LabelingApproach for Reachability Query on Very Large Graphs.- Graph-based HybridRecommendation Using Random Walk and Topic Modeling.- RDQS: A Relevant andDiverse Query Suggestion Generation Framework.- Minimizing the cost to wincompetition in social network.- Ad Dissemination Game in Ephemeral Networks.- UserGenerated Content Oriented Chinese Taxonomy Construction.- Mining WeightedFrequent Itemsets with the Recency Constraint.- Boosting Explicit SemanticAnalysis by Clustering Paragraph Vectors of Wikipedia Articles.- Research onSemantic Disambiguation in Treebank.- PDMA: A Probabilistic Framework for DiversifyingRecommendation Lists.- User Behavioral Context-Aware Service Recommendation forPersonalized Mashups in Pervasive Environments.- On Coherent Indented TreeVisualization of RDF Graphs.- Online Feature Selection based onPassive-Aggressive Algorithm with Retaining Features.- Online PersonalizedRecommendation Based on Streaming Implicit User Feedback.- A Self-LearningRule-based Approach for Sci-tech Compound Phrase Entity Recognition.- BatchMode Active Learning For Geographical Image Classification.- A Multi-viewRetweeting Behaviors Prediction in Social Networks.- Probabilistic FrequentPattern Mining by PUH-Mine.- A Secure and Efficient Framework for PrivacyPreserving Social Recommendation.- DistDL: A Distributed Deep Learning Service Schema with GPU Accelerating.- A Semi-Supervised Solution for Cold Start Issue on Recommender Systems.- Hybrid Cloud Deployment of an ERP-based Student Administration System.- A Benchmark Evaluation of Enterprise Cloud Infrastructure.- A Fast Data Ingestion and Indexing Scheme for Real-time Log Analytics.- A Fair Data Market System with Data Quality Evaluation and Repairing Recommendation.- HouseIn: A Housing Rental Platform with Non-Redundant Information Integrated from Multiple Sources.- ONCAPS: An Ontology-based Car Purchase Guiding System.- A Multiple Trust Paths Selection Tool in Contextual Online Social Networks.- EPEMS: An Entity Matching System For E-Commerce Products.- PPS-POI-Rec: A Privacy Preserving Social Point-of-Interest Recommender System.- Incorporating Contextual Information into a Mobile Advertisement Recommender System.
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
| Zusatzinfo | XIX, 885 p. 330 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | Active learning • Applications • classification • Cloud Computing • Clustering • Computer Science • conference proceedings • Database Management • Data Mining • data mining and knowledge discovery • Informatics • Information Retrieval • Information storage and retrieval • information systems applications (incl. internet) • machine learning • MapReduce • Multimedia Information Systems • Pervasive Computing • query processing • Recommender Systems • Research • semantic web • sensor networks • similarity measure • Social Networks • Social Web • Spatial Database • Web data integration • Wikipedia • XML |
| ISBN-10 | 3-319-25254-2 / 3319252542 |
| ISBN-13 | 978-3-319-25254-4 / 9783319252544 |
| Zustand | Neuware |
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