Titlebook: Database and Expert Systems Applications; 12th International C Heinrich C. Mayr,Jiri Lazansky,Pavel Vogel Conference proceedings 2001 Sprin

IU421

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

表示問

BOAST

enumaerate

XML Databases: Modeling and Multidimensional Indexing be considered in combination with classical and multidimensional (UB-tree) indexes and qualitative performance analyses will be presented depending on the relational models and the indexes used. Based on these analyses a recommendation will be given for mapping XML to the relational world.

作繭自縛

frugal

frugal

Extracting Temporal References to Assign Document Event-Time Periods*culate the event-time periods of documents. The obtained event-time periods can be useful for both retrieving documents and finding relationships between them, and their inclusion in Information Retrieval Systems can produce significant improvements in their retrieval effectiveness.

BLAND

Personalizing Digital Libraries for Learnerst components of the digital library system. In their existing metadata standards, personalizing agents are designed and developed for realizing peerto-peer educational and learning technologies on the Internet.

孤獨無助

An Architecture for Database Marketing Systemsel is presented in order to improve the development of DBM systems. This metamodel arises from the main characteristics of marketing activities and basic concepts of Data Warehouse technology. A systematic method for using the proposed DBM architecture is presented through an example that shows the architecture‘s functionality.

Annotate

https://doi.org/10.1007/978-3-319-01159-2ortions of documents and specific changes expressed by means of complex conditions, i.e. users might want to know if the value of a given stock has increased by more than 10%. Several tests on stock exchange and auction web pages proved the effectiveness of the proposed approach.