法官所用
发表于 2025-3-21 18:48:50
书目名称Knowledge Discovery Enhanced with Semantic and Social Information影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0543857<br><br> <br><br>书目名称Knowledge Discovery Enhanced with Semantic and Social Information影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0543857<br><br> <br><br>书目名称Knowledge Discovery Enhanced with Semantic and Social Information网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0543857<br><br> <br><br>书目名称Knowledge Discovery Enhanced with Semantic and Social Information网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0543857<br><br> <br><br>书目名称Knowledge Discovery Enhanced with Semantic and Social Information被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0543857<br><br> <br><br>书目名称Knowledge Discovery Enhanced with Semantic and Social Information被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0543857<br><br> <br><br>书目名称Knowledge Discovery Enhanced with Semantic and Social Information年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0543857<br><br> <br><br>书目名称Knowledge Discovery Enhanced with Semantic and Social Information年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0543857<br><br> <br><br>书目名称Knowledge Discovery Enhanced with Semantic and Social Information读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0543857<br><br> <br><br>书目名称Knowledge Discovery Enhanced with Semantic and Social Information读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0543857<br><br> <br><br>
cathartic
发表于 2025-3-21 22:50:52
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带来的感觉
发表于 2025-3-22 02:40:49
A Study of the SEMINTEC Approach to Frequent Pattern MiningIn this paper, first, we prove that the approach introduced in our previous work for the DLP fragment of description logic family of languages, is also valid for more expressive languages. Next, we present the experimental results under different settings of the approach, and on knowledge bases of different sizes and complexities.
偏离
发表于 2025-3-22 06:14:19
The , Project: Web Information Extraction Using Extraction Ontologiestically constructing these from third-party domain ontologies, (2) absorbing the results of inductive learning for subtasks where pre-labelled data abound, and (3) actively exploiting formatting regularities in the wrapper style.
考得
发表于 2025-3-22 10:54:33
Item Weighting Techniques for Collaborative Filteringcomputation the items with the smallest weights.We assume that the items with smallest weights are the least useful for generating the prediction. We have evaluated the proposed methods using two datasets (MovieLens and Yahoo!) and identified the conditions for their best application in CF.
勤劳
发表于 2025-3-22 15:20:18
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deface
发表于 2025-3-22 18:46:18
1860-949X owledge discovery enhanced with semantic and social information. It includes eight contributed chapters that grew out of two joint workshops at ECML/PKDD 2007..There is general agreement that the effectiveness of Machine Learning and Knowledge Discovery output strongly depends not only on the qualit
原来
发表于 2025-3-22 23:10:26
A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery In a semi-automatic approach, the network and the discovered relations are presented to the user as an intuitive visualization. The applicability and benefit of the presented technique is illustrated by examples from a case-study in the medical domain.
Receive
发表于 2025-3-23 03:00:09
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可卡
发表于 2025-3-23 07:34:58
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