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» Using Data Mining for Wine Quality Assessment
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116
Voted
ISBI
2006
IEEE
16 years 4 months ago
Assessing the accuracy of non-rigid registration with and without ground truth
We compare two methods for assessing the performance of groupwise non-rigid registration algorithms. One approach, which has been described previously, utilizes a measure of overl...
Roy Schestowitz, Carole J. Twining, Timothy F. Coo...
171
Voted
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
13 years 6 months ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 4 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
135
Voted
ITC
1995
IEEE
102views Hardware» more  ITC 1995»
15 years 7 months ago
Visualizing Quality
Real-world data is known to be imperfect, suffering from various forms of defects such as sensor variability, estimation errors, uncertainty, human errors in data entry, and gaps ...
Solomon Max
148
Voted
EUROMICRO
2009
IEEE
15 years 7 months ago
Synthetic Metrics for Evaluating Runtime Quality of Software Architectures with Complex Tradeoffs
Runtime quality of software, such as availability and throughput, depends on architectural factors and execution environment characteristics (e.g. CPU speed, network latency). Alth...
Anakreon Mentis, Panagiotis Katsaros, Lefteris Ang...