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EDM
2011
12views Data Mining» more  EDM 2011»
1 months 20 days ago
Towards Improvements on Domain-independent Measurements for Collaborative Assessment
Assessment on collaborative student behavior is a longstanding issue in user modeling. Nowadays thanks to the proliferation of online learning and the vast amount of data on studen...
Antonio R. Anaya, Jesus Boticario
EDM
2011
11views Data Mining» more  EDM 2011»
1 months 20 days ago
Towards Better Understanding of Transfer in Cognitive Models of Practice
Michael Yudelson, Philip I. Pavlik, Kenneth R. Koe...

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kennbyrneStudent, Msc
DIT
kennbyrne
SISAP
2011
IEEE
65views Data Mining» more  SISAP 2011»
4 months 22 days ago
Succinct nearest neighbor search
In this paper we present a novel technique for nearest neighbor searching dubbed neighborhood approximation. The central idea is to divide the database into compact regions repres...
Eric Sadit Tellez, Edgar Chávez, Gonzalo Na...
SDM
2011
SIAM
37views Data Mining» more  SDM 2011»
4 months 23 days ago
The Network Completion Problem: Inferring Missing Nodes and Edges in Networks
While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomp...
Myunghwan Kim 0002, Jure Leskovec
SDM
2011
SIAM
54views Data Mining» more  SDM 2011»
4 months 23 days ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
SDM
2011
SIAM
42views Data Mining» more  SDM 2011»
4 months 23 days ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
SDM
2011
SIAM
33views Data Mining» more  SDM 2011»
4 months 23 days ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
SDM
2011
SIAM
44views Data Mining» more  SDM 2011»
4 months 23 days ago
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
Kanishka Bhaduri, Kamalika Das, Chris Giannella
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