Titlebook: Database and Expert Systems Applications; 16th International C Kim Viborg Andersen,John Debenham,Roland Wagner Conference proceedings 2005

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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(kāi)度




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

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Ferritin

Towards Mining Structural Workflow Patterns,nalysing the interaction structure of those complex systems will enable them to be well understood and controlled. The work described in this paper is a contribution to these problems for workflow based process applications. In fact, we discover workflow patterns from traces of workflow events based

歌劇等

Avoiding Error-Prone Reordering Optimization During Legal Systems Migration,teps process on the values of the same data attributes and their derivations, and users may ignore or be puzzled by the data transforms that are defined to clean and transform the data sets, and such process can also be prone to error during process optimization. In this paper, we first define two m

Chromatic

peritonitis

Distribution Rules for Array Database Queries,of relational database technology. However, expressing such problems in terms of relational queries is difficult and time-consuming. Even more discouraging is the efficiency issue: query optimization strategies successful in classical relational domains may not suffice when applied to the multi-dime

peritonitis

Efficient Processing of Distributed Top-, Queries,ases, and distributed systems. Top-. queries play a critical role in many decision-making related activities such as, identifying interesting objects, network monitoring, load balancing, etc. In this paper, we study the ranking aggregation problem in distributed systems. Prior research addressing th

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一大群

On Effective E-mail Classification via Neural Networks,per. Incidentally, E-mail messages can be modelled as semi-structured documents consisting of a set of fields with pre-defined semantics and a number of variable length free-text fields. Our proposed method deals with both fields having pre-defined semantics as well as variable length free-text fiel

ingrate

An Adaptive Spreading Activation Scheme for Performing More Effective Collaborative Recommendation,a decay of performance (over activation) as the dataset grows denser. In this paper, we first introduce the concepts of Rating Similarity Matrix (RSM) and Rating Similarity Aggregation (RSA), based on which we then extend the existing spreading activation scheme to deal with both the binary (transac