Titlebook: Database Systems for Advanced Applications; 20th International C Matthias Renz,Cyrus Shahabi,Muhammad Aamir Cheema Conference proceedings 2

obesity

書目名稱Database Systems for Advanced Applications影響因子(影響力)




書目名稱Database Systems for Advanced Applications影響因子(影響力)學科排名




書目名稱Database Systems for Advanced Applications網(wǎng)絡公開度




書目名稱Database Systems for Advanced Applications網(wǎng)絡公開度學科排名




書目名稱Database Systems for Advanced Applications被引頻次




書目名稱Database Systems for Advanced Applications被引頻次學科排名




書目名稱Database Systems for Advanced Applications年度引用




書目名稱Database Systems for Advanced Applications年度引用學科排名




書目名稱Database Systems for Advanced Applications讀者反饋




書目名稱Database Systems for Advanced Applications讀者反饋學科排名

NAVEN

978-3-319-18119-6Springer International Publishing Switzerland 2015

的是兄弟

exquisite

Quality Control Inspection Teamt finding is important to many real applications such as question routing and identification of best answers. Currently, many approaches of expert findings rely heavily on the past question-answering activities of the users in order to build user models. However, the past question-answering activiti

出價

Canopy

Construction Inspection Handbookaper, we present a novel approach for mining correlation in collections consisting of a large number of time series. In our approach, we use bursts co-occurring in different streams as the measure of their relatedness. By exploiting the pruning properties of our measure we develop new indexing struc

Canopy

陰險

設想

https://doi.org/10.1007/978-3-031-44021-2rmance characteristics of SSD make it well-suited for use as a second-level buffer cache. In this paper, we propose a SSD-based multilevel buffer scheme, called flash-aware second-level cache(FASC), where SSD serves as an extension of the DRAM buffer. Our goal is to reduce the number of disk accesse

隨意

https://doi.org/10.1007/978-1-349-14458-7 for reducing disk and network I/O as well as for managing data distribution: The Bloom filter. This data structure allows to encode small sets of elements, typically the keys in a key-value store, into a small, constant-size data structure. In order to reduce memory consumption, this data structure