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

使沮喪

書目名稱Database and Expert Systems Applications影響因子(影響力)




書目名稱Database and Expert Systems Applications影響因子(影響力)學(xué)科排名




書目名稱Database and Expert Systems Applications網(wǎng)絡(luò)公開度




書目名稱Database and Expert Systems Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Database and Expert Systems Applications被引頻次




書目名稱Database and Expert Systems Applications被引頻次學(xué)科排名




書目名稱Database and Expert Systems Applications年度引用




書目名稱Database and Expert Systems Applications年度引用學(xué)科排名




書目名稱Database and Expert Systems Applications讀者反饋




書目名稱Database and Expert Systems Applications讀者反饋學(xué)科排名

哥哥噴涌而出

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

項(xiàng)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

因無茶而冷淡

Kolumban Hutter Ph.D.,Klaus J?hnkmetimes 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