GUISE
发表于 2025-3-26 22:33:33
Understanding Short Textshan 2 million concepts, harnessed automatically from a corpus of 1.68 billion web pages and two years worth of search-log data. It enables probabilistic interpretations of search queries, document titles, ad keywords, etc. The probabilistic nature also enables it to incorporate heterogeneous informa
CLAMP
发表于 2025-3-27 01:32:27
Energy Efficiency in W-Grid Data-Centric Sensor Networks via Workload Balancing through multi-hop routing among devices. In this paper, we show that network traffic, and thus the energy consumption, can be . among sensors by assigning multiple . to nodes trough a ., which extends W-Grid.
fluffy
发表于 2025-3-27 07:50:56
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高度赞扬
发表于 2025-3-27 12:39:19
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烦躁的女人
发表于 2025-3-27 17:32:11
K Hops Frequent Subgraphs Mining for Large Attribute GraphGraph Edit Distance. Then, frequent labeled subgraphs will be merged into attribute subgraphs by integration according to designated attributes. The complexity of our mechanism is approximately O(2.), which is more efficient than existing algorithms. Real data sets are applied in experiments to demo
其他
发表于 2025-3-27 21:24:02
Correlation Mining in Graph Databases with a New Measureposed a new graph correlation measure, ., to efficiently extract useful graph patterns along with a method . (.orrelated .raph .ining), to find the underlying correlations among graphs in graph databases using the proposed measure. Finally, extensive performance analysis of our scheme proved two tim
复习
发表于 2025-3-28 00:21:04
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分散
发表于 2025-3-28 04:43:41
Improved Parallel Processing of Massive De Bruijn Graph for Genome Assemblyertices, which results in a huge amount of communications between computing nodes. Therefore, we propose to use depth-first traversal over the underlying De Bruijn graph once to achieve the same objective as the existing list ranking approach. The new method is fast, effective and can be executed in
Nucleate
发表于 2025-3-28 07:36:20
Improved Parallel Processing of Massive De Bruijn Graph for Genome Assemblyertices, which results in a huge amount of communications between computing nodes. Therefore, we propose to use depth-first traversal over the underlying De Bruijn graph once to achieve the same objective as the existing list ranking approach. The new method is fast, effective and can be executed in
表主动
发表于 2025-3-28 10:56:40
0302-9743 wing workshops: second international workshop on data management for emerging network infrastructure, international workshop on soical media analytics and recommendation technologies, and international workshop on management of spatial temporal data.978-3-642-37400-5978-3-642-37401-2Series ISSN 0302-9743 Series E-ISSN 1611-3349