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» Business Process Understanding: Mining Many Datasets
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IQ
2007
13 years 9 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...
KDD
2009
ACM
260views Data Mining» more  KDD 2009»
14 years 8 months ago
Enabling analysts in managed services for CRM analytics
Data analytics tools and frameworks abound, yet rapid deployment of analytics solutions that deliver actionable insights from business data remains a challenge. The primary reason...
Indrajit Bhattacharya, Shantanu Godbole, Ajay Gupt...
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
14 years 8 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
SEMWEB
2010
Springer
13 years 5 months ago
Fusion - Visually Exploring and Eliciting Relationships in Linked Data
Building applications over Linked Data often requires a mapping between the application model and the ontology underlying the source dataset in the Linked Data cloud. This mapping ...
Samur Araújo, Geert-Jan Houben, Daniel Schw...
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
PPLook: an automated data mining tool for protein-protein interaction
Background: Extracting and visualizing of protein-protein interaction (PPI) from text literatures are a meaningful topic in protein science. It assists the identification of inter...
Shao-Wu Zhang, Yao-Jun Li, Li Xia, Quan Pan