cherub
发表于 2025-3-21 19:29:04
书目名称Knowledge Discovery and Data Mining. Current Issues and New Applications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0543860<br><br> <br><br>书目名称Knowledge Discovery and Data Mining. Current Issues and New Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0543860<br><br> <br><br>书目名称Knowledge Discovery and Data Mining. Current Issues and New Applications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0543860<br><br> <br><br>书目名称Knowledge Discovery and Data Mining. Current Issues and New Applications网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0543860<br><br> <br><br>书目名称Knowledge Discovery and Data Mining. Current Issues and New Applications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0543860<br><br> <br><br>书目名称Knowledge Discovery and Data Mining. Current Issues and New Applications被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0543860<br><br> <br><br>书目名称Knowledge Discovery and Data Mining. Current Issues and New Applications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0543860<br><br> <br><br>书目名称Knowledge Discovery and Data Mining. Current Issues and New Applications年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0543860<br><br> <br><br>书目名称Knowledge Discovery and Data Mining. Current Issues and New Applications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0543860<br><br> <br><br>书目名称Knowledge Discovery and Data Mining. Current Issues and New Applications读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0543860<br><br> <br><br>
CRASS
发表于 2025-3-21 21:29:32
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无底
发表于 2025-3-22 01:44:59
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翻动
发表于 2025-3-22 05:53:27
Conference proceedings 200000. PAKDD 2000 provided an international forum for researchers and applica tion developers to share their original research results and practical development experiences. A wide range of current KDD topics were covered including ma chine learning, databases, statistics, knowledge acquisition, data
electrolyte
发表于 2025-3-22 08:43:01
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violate
发表于 2025-3-22 14:19:58
An Optimization Problem in Data Cube System Designe system can answer a maximum number of queries and satisfy the bounds. This is an NP-complete problem. Approximate algorithms Greedy Removing and 2-Greedy Merging are proposed. Experiments have been done on a census database and the results show that our approach is both effective and efficient.
泛滥
发表于 2025-3-22 20:55:27
Consistency Based Feature Selectionne the pros and cons of these different search methods using consistency. Through this extensive exercise, we aim to provide a comprehensive view of this measure and its relations with other measures and a guideline of the use of this measure with different search strategies facing a new application.
Constrain
发表于 2025-3-22 22:35:41
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热情的我
发表于 2025-3-23 04:28:08
A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Database the index can be built in linear time. We call our approach PCA-indexing (Piecewise Constant Approximation) and experimentally validate it on space telemetry, financial, astronomical, medical and synthetic data.
Anhydrous
发表于 2025-3-23 08:03:13
Missing Value Estimation Based on Dynamic Attribute Selectione previously filled up missing values are naturally utilized. This ordered estimation of missing values is compared with some conventional methods including Lobo’s ordered estimation which uses static ranking of attributes. Experimental results show that this method generates good recognition ratios in almost all domains with many missing values.