Titlebook: Database and Expert Systems Applications; 24th International C Hendrik Decker,Lenka Lhotská,A Min Tjoa Conference proceedings 2013 Springer

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书目名称Database and Expert Systems Applications影响因子(影响力)




书目名称Database and Expert Systems Applications影响因子(影响力)学科排名




书目名称Database and Expert Systems Applications网络公开度




书目名称Database and Expert Systems Applications网络公开度学科排名




书目名称Database and Expert Systems Applications被引频次




书目名称Database and Expert Systems Applications被引频次学科排名




书目名称Database and Expert Systems Applications年度引用




书目名称Database and Expert Systems Applications年度引用学科排名




书目名称Database and Expert Systems Applications读者反馈




书目名称Database and Expert Systems Applications读者反馈学科排名

哥哥喷涌而出

aptitude

Etymology

cornucopia

AGOG

Vector, Tensors, and Related Matters map the “nearby” objects into a same hash bucket with high probability. A significant drawback is that LSH requires a large number of hash tables to achieve good search quality. Multi-probe LSH was proposed to reduce the number of hash tables by looking up multiple buckets in each table. While opti

AGOG

Continuum Mechanics and Linear Elasticityndexing. However, this way of indexing needs to revisit some hypotheses of classical Information Retrieval. Therefore, we propose a new concept weighting approach, namely ., which weights concepts with respect to their corresponding text in the documents or queries. In other words, it assigns to eac

项目

,Plasticity Over 150 Years (1864–2014),the dictionaries. However, it generates irrelevant information. We propose a new approach for indexing biomedical documents with the Medical Subject Headings (MeSH) thesaurus that aims to overcome the limitation of the partial match. In fact, our indexing approach proposes to restrict the stemming p

因无茶而冷淡

Kolumban Hutter Ph.D.,Klaus Jöhnkmetimes the efficiency, of many tasks including query processing, keyword search and schema/data integration. The Object-Relationship-Attribute model for Semi-Structured data (ORA-SS) model is a conceptual model intended to capture the semantics of object classes, object identifiers, relationship ty

legislate

Continuum Methods of Physical Modeling visual as well as in semantic space, but to accomplish this computationally is yet to be fully explored. The learning based techniques do minimize the semantic gap, but unlimited possible categorization of objects in real world is a major challenge to these techniques. This work analyzes and utiliz