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KDD
2010
ACM
195views Data Mining» more  KDD 2010»
15 years 11 months ago
Universal multi-dimensional scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
160
Voted
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
15 years 11 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
198
Voted
DEXAW
2004
IEEE
131views Database» more  DEXAW 2004»
15 years 11 months ago
Personalised E-Learning Opportunities - Call for a Pedagogical Domain Knowledge Model
A considerable amount of e-learning content is being delivered via virtual or managed learning environments. These platforms keep track of learners' activities including cont...
Alex G. Büchner, David W. Patterson
203
Voted
OSDI
2000
ACM
15 years 9 months ago
Towards Higher Disk Head Utilization: Extracting "Free" Bandwidth from Busy Disk Drives
Freeblock scheduling is a new approach to utilizing more of disks' potential media bandwidths. By filling rotational latency periods with useful media transfers, 20{50% of a ...
Christopher R. Lumb, Jiri Schindler, Gregory R. Ga...
DATAMINE
2010
133views more  DATAMINE 2010»
15 years 7 months ago
Using background knowledge to rank itemsets
Assessing the quality of discovered results is an important open problem in data mining. Such assessment is particularly vital when mining itemsets, since commonly many of the disc...
Nikolaj Tatti, Michael Mampaey