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» Agent-Enriched Data Mining Using an Extendable Framework
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MOBIDE
2010
ACM
13 years 8 months ago
Using data mining to handle missing data in multi-hop sensor network applications
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
Le Gruenwald, Hanqing Yang, Md. Shiblee Sadik, Rah...
CIKM
2010
Springer
13 years 7 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
CIKM
1997
Springer
14 years 23 days ago
A Framework for the Management of Past Experiences with Time-Extended Situations
: In the context of knowledge management, we focus on the representation and the retrieval of past experiences called cases within the Case-Based Reasoning (CBR) paradigm. CBR is a...
Michel Jaczynski
CIBCB
2009
IEEE
13 years 9 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
EDM
2010
128views Data Mining» more  EDM 2010»
13 years 10 months ago
Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning
In the past few years, Iranian universities have embarked to use e-learning tools and technologies to extend and improve their educational services. After a few years of conducting...
Mohammad Hassan Falakmasir, Jafar Habibi