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» Phenomenal Data Mining: From Data to Phenomena
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WSDM
2012
ACM
295views Data Mining» more  WSDM 2012»
14 years 2 months ago
A straw shows which way the wind blows: ranking potentially popular items from early votes
Prediction of popular items in online content sharing systems has recently attracted a lot of attention due to the tremendous need of users and its commercial values. Different fr...
Peifeng Yin, Ping Luo, Min Wang, Wang-Chien Lee
ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
15 years 4 months ago
Accurate Discovery of Valid Convoys from Moving Object Trajectories
Given a set of moving object trajectories, it is of interest to find a group of objects, called a convoy, that are spatially density-connected for a certain duration of time. Howev...
Hyunjin Yoon, Cyrus Shahabi
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 3 months ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
IQ
2007
15 years 8 months ago
Rule-Based Measurement Of Data Quality In Nominal Data
: Sufficiently high data quality is crucial for almost every application. Nonetheless, data quality issues are nearly omnipresent. The reasons for poor quality cannot simply be bla...
Jochen Hipp, Markus Müller, Johannes Hohendor...
DAWAK
2003
Springer
15 years 11 months ago
Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin
In a data warehouse (DW) environment, when the operational environment does not posses or does not want to inform the data about the changes that occurred, controls have to be impl...
Rosana L. de B. A. Rocha, Leonardo Figueiredo Card...