2008 IEEE International Conference on Data Mining Workshops最新文献_第6页

Association Action Rules 关联动作规则

2008 IEEE International Conference on Data Mining Workshops Pub Date : 2008-12-15 DOI: 10.1109/ICDMW.2008.66

Z. Ras, A. Dardzinska, Li-Shiang Tsay, H. Wasyluk

引用次数: 73

GeoDMA - A Novel System for Spatial Data Mining GeoDMA -一个新的空间数据挖掘系统

2008 IEEE International Conference on Data Mining Workshops Pub Date : 2008-12-15 DOI: 10.1109/ICDMW.2008.22

T. Korting, Leila Maria Garcia Fonseca, M. Escada, F. C. Silva, M. Silva

引用次数: 24

Discovering Triggering Events from Longitudinal Data 从纵向数据中发现触发事件

2008 IEEE International Conference on Data Mining Workshops Pub Date : 2008-12-15 DOI: 10.1109/ICDMW.2008.136

Corrado Loglisci, D. Malerba

引用次数: 3

Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages 基于词汇链和词共现的中文新闻网页关键词抽取

2008 IEEE International Conference on Data Mining Workshops Pub Date : 2008-12-15 DOI: 10.1109/ICDMW.2008.122

Xinghua Li, Xindong Wu, Xuegang Hu, Fei Xie, Zhaozhong Jiang

引用次数: 11

Extension of Partitional Clustering Methods for Handling Mixed Data 扩展部分聚类方法以处理混合数据

2008 IEEE International Conference on Data Mining Workshops Pub Date : 2008-12-15 DOI: 10.1109/ICDMW.2008.85

Yosr Naïja, Salem Chakhar, Kaouther Blibech Sinaoui, R. Robbana

引用次数: 10

Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets 比较规则评估模型的准确性以确定评估规则集上的人为标准

2008 IEEE International Conference on Data Mining Workshops Pub Date : 2008-12-15 DOI: 10.1109/ICDMW.2008.49

H. Abe, S. Tsumoto

引用次数: 5

Detecting Suspicious Behavior in Surveillance Images 在监控图像中检测可疑行为

2008 IEEE International Conference on Data Mining Workshops Pub Date : 2008-12-15 DOI: 10.1109/ICDMW.2008.36

Daniel Barbará, C. Domeniconi, Zoran Duric, M. Filippone, Richard Mansfield, E. Lawson

引用次数: 16

Comparing Reliability of Association Rules and OLAP Statistical Tests 关联规则与OLAP统计检验的信度比较

2008 IEEE International Conference on Data Mining Workshops Pub Date : 2008-12-15 DOI: 10.1109/ICDMW.2008.76

Zhibo Chen, C. Ordonez, Kai Zhao

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引用次数: 10

Detecting and Tracking Spatio-temporal Clusters with Adaptive History Filtering 基于自适应历史滤波的时空聚类检测与跟踪

2008 IEEE International Conference on Data Mining Workshops Pub Date : 2008-12-15 DOI: 10.1109/ICDMW.2008.93

J. Rosswog, K. Ghose

{"title":"Detecting and Tracking Spatio-temporal Clusters with Adaptive History Filtering","authors":"J. Rosswog, K. Ghose","doi":"10.1109/ICDMW.2008.93","DOIUrl":"https://doi.org/10.1109/ICDMW.2008.93","url":null,"abstract":"This paper addresses the problem of detecting and tracking moving clusters in spatio-temporal data sets. Spatio-temporal data sets contain data elements that move in space over time. Traditional data clustering algorithms work well on static data sets that contain well separated clusters. When traditional techniques are applied to spatio-temporal data they breakdown when the moving data elements intersect the space occupied by elements from another cluster. The goal of this work is to improve the accuracy of traditional data clustering algorithms on spatio-temporal data sets. Many clustering algorithms create clusters based on the distance between the elements. We extend this distance measure to be a function of the position history of the elements. We show through a series of experiments that the use of the history based distance measures greatly improves the performance of existing data clustering algorithms on spatio-temporal data sets. In random data sets we achieve up to a 90% improvement in cluster accuracy. To evaluate the clustering algorithms we created 102 spatio-temporal data sets. We also defined a set of metrics that are used to evaluate the performance of the clustering algorithms on the spatio-temporal data sets.","PeriodicalId":175955,"journal":{"name":"2008 IEEE International Conference on Data Mining Workshops","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131200544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25

Discovery of Internal and External Hyperclique Patterns in Complex Graph Databases 复杂图数据库中内外超团模式的发现

2008 IEEE International Conference on Data Mining Workshops Pub Date : 2008-12-15 DOI: 10.1109/ICDMW.2008.59

Tsubasa Yamamoto, Tomonobu Ozaki, T. Ohkawa

引用次数: 2