Database and expert systems applications : 30th International Conference, DEXA 2019, Linz, Austria, August 26-29, 2019, proceedings
著者
書誌事項
Database and expert systems applications : 30th International Conference, DEXA 2019, Linz, Austria, August 26-29, 2019, proceedings
(Lecture notes in computer science, 11706-11707 . LNCS sublibrary ; SL3 . Information systems and applications,
Springer, c2019
- pt. 1
- pt .2
- タイトル別名
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DEXA 2019
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
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
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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
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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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