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» Extraction Techniques for Mining Services from Web Sources
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ICTAI
2005
IEEE
14 years 10 days ago
ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bo...
ICWS
2010
IEEE
13 years 5 months ago
Enhancing Scalability and Performance of Mashups Through Merging and Operator Reordering
Abstract—Recently, mashups are gaining tremendous popularity as an important Web 2.0 application. Mashups provide end-users with an opportunity to create personalized Web service...
Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. ...
WEBDB
2007
Springer
100views Database» more  WEBDB 2007»
14 years 25 days ago
Searching the Blogosphere
With the massive adoption of internet technologies, social media and blogs have become primary means of expressing opinions online. The Blogosphere contains a wealth of informatio...
Nilesh Bansal, Nick Koudas
KDD
2004
ACM
213views Data Mining» more  KDD 2004»
14 years 3 days ago
Analytical view of business data
This paper describes a logical extension to Microsoft Business Framework (MBF) called Analytical View (AV). AV consists of three components: Model Service for design time, Busines...
Adam Yeh, Jonathan Tang, Youxuan Jin, Sam Skrivan
SIGMOD
2012
ACM
230views Database» more  SIGMOD 2012»
11 years 9 months ago
Pay-as-you-go data integration for linked data: opportunities, challenges and architectures
Linked Data (LD) provides principles for publishing data that underpin the development of an emerging web of data. LD follows the web in providing low barriers to entry: publisher...
Norman W. Paton, Klitos Christodoulou, Alvaro A. A...