Database and expert systems applications : 30th International Conference, DEXA 2019, Linz, Austria, August 26-29, 2019, proceedings

書誌事項

Database and expert systems applications : 30th International Conference, DEXA 2019, Linz, Austria, August 26-29, 2019, proceedings

Sven Hartmann ... [et al.] (eds.)

(Lecture notes in computer science, 11706-11707 . LNCS sublibrary ; SL3 . Information systems and applications, incl. Internet/Web, and HCI)

Springer, c2019

  • pt. 1
  • pt .2

タイトル別名

DEXA 2019

大学図書館所蔵 件 / 1

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注記

Other editors: Josef Küng, Sharma Chakravarthy, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil

Includes bibliographical references and author index

内容説明・目次

巻冊次

pt. 1 ISBN 9783030276140

内容説明

This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019. The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing. Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services.

目次

Big Data Management and Analytics.- Optimization of Row Pattern Matching over Sequence Data in Spark SQL.- Rainfall Estimation from Traffic Cameras.- Towards Identifying De-Anonymisation Risks in Distributed Health Data Silos.- An Attribute-Based Fine-Grained Access Control Mechanism for HBase.- Data Structures and Data Management.- Lopper: An Efficient Method for Online Log Pattern Mining based on Hybrid Clustering Tree.- Discord Monitoring for Streaming Time-series.- Partially Indexing on Flash Memory.- HGraph: A Connected-Partition Approach to Proximity Graphs for Similarity Search.- Management and Processing of Knowledge.- Statistical Processing of Stopwords on SNS.- Multiple Choice Question Answering in the Legal Domain Using Reinforced Co-occurrence.- Probabilistic Algorithm to Predict Missing Facts from Knowledge Graphs.- Semantic Oppositeness Embedding Using an Autoencoder-based Learning Model.- COMET: A Contextualized Molecule-based Matching Technique.- Authenticity, Privacy, Security and Trust.- Differentially Private Non-parametric Machine Learning as a Service.- PURE: A Privacy Aware Rule-Based Framework over Knowledge Graphs.- FFT-2PCA: a new Feature Extraction Method for Data-Based Fault Detection.- Consistency, Integrity, Quality of Data.- ADaQL to Monitor Data Quality in Machine Learning Applications.- Automated Detection and Monitoring of Advanced Data Quality Rules.- Effect of Imprecise Data Income-flow Variability on Harvest Stability: A Quantile-based Approach.- Decision Support Systems.- Fairness-enhancing interventions in stream classification.- Early turnover prediction of new restaurant employees from their attendance records and attributes.- An Efficient Premiumness and Utility-based Itemset Placement Scheme for Retail Stores.- Data Lakes: Trends and Perspectives.- An Efficient Greedy Algorithm for Sequence Recommendation.- Discovering Diverse Popular Paths using Transactional Modeling and Patter Mining.- Data Mining and Warehousing.- Representative Sample Extraction from Web Data Streams.- LogLInc: LoG Queries of Linked open data Investigator for Cube Design.- Handling the Information Backlog for Data Warehouse Development.- Ontario: Federated Query Processing against a Semantic Data Lake.- A Model-Driven Framework for the Modeling and the Description of Data-as-a-Service to Assist Service Selection and Composition.- Named Entity Recognition in Local Intent Web Search Queries.- Database Processing-in-Memory: A Vision.- Context-Aware GANs for Image Generation from Multimodal Queries.
巻冊次

pt .2 ISBN 9783030276171

内容説明

This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019.The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing. Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services.

目次

Distributed, Parallel, P2P, Grid and Cloud databases.- Looking into the Peak Memory Consumption of Epoch-based Reclamation in Scalable In-Memory Database Systems.- Energy Efficient Data Placement and Buffer Management for Multiple Replication.- Querying Knowledge Graphs with Natural Languages.- Explaining Query Answer Completeness and Correctness With Partition Patterns.- Information Retrieval.- Research Paper Search Using a Topic-based Boolean Query Search and a General Query-based Ranking Model.- Extractive Document Summarization using Non-negative Matrix Factorization.- Succinct BWT-based Sequence prediction.- TRR: Reducing Crowdsourcing Task Redundancy.- Software Resource Recommendation for Process Execution based on the Organization's Profile.- An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Models.- Semantic Web and Ontologies.- Novel Node Importance Measures to Improve Keyword Search over RDF Graphs.- Querying in a Workload-aware Triplestore based on NoSQL Databases.- Reverse Partitioning for SPARQL Queries: Principles and Performance Analysis.- PFed: Recommending Plausible Federated SPARQL Queries.- Representing and Reasoning about Precise and Imprecise Time Points and Intervals in Semantic Web: Dealing with Dates and Time Clocks.- Information Processing.- Context-Aware Multi-Criteria Recommendation Based on Spectral Graph Partitioning.- SilverChunk: An Efficient In-Memory Parallel Graph Processing System.- A modular approach for efficient simple question answering over knowledge base.- Scalable Machine Learning in the R Language Using a Summarization Matrix.- ML-PipeDebugger: A Debugging Tool for Data Processing Pipelines.- Temporal, Spatial, and High Dimensional Databases.- Correlation Set Discovery on Time-series Data.- Anomaly Subsequence Detection with Dynamic Local Density for Time Series.- Trajectory Similarity Join for Spatial Temporal Database.- Knowledge Discovery.- Multiviewpoint-based Agglomerative Hierarchical Clustering.- Triplet-CSSVM: Integrating Triplet-Sampling CNN and Cost-Sensitive Classification for Imbalanced Image Detection.- Discovering Partial Periodic High Utility Itemsets in Temporal Databases.- Using Mandatory Concepts for Knowledge Discovery and Data Structuring.- Topological Data Analysis with \epsilon-net Induced Lazy Witness Complex.- Analyzing Sequence Pattern Variants in Sequential Pattern Mining and its Application to Electronic Medical Record Systems.- Web Services.- Composing Distributed Data-intensive Web services using Distance-guided Memetic Algorithm.- Keyword Search based Mashup Construction with Guaranteed Diversity.- Using EDA-Based Local Search to improve the performance of NSGA-II for Multiobjective Semantic Web Service Composition.- Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud.

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