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» Large-scale extraction and use of knowledge from text
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APN
2005
Springer
15 years 3 months ago
The ProM Framework: A New Era in Process Mining Tool Support
Under the umbrella of buzzwords such as “Business Activity Monitoring” (BAM) and “Business Process Intelligence” (BPI) both academic (e.g., EMiT, Little Thumb, InWoLvE, Pro...
Boudewijn F. van Dongen, Ana Karla A. de Medeiros,...
DKE
2008
109views more  DKE 2008»
14 years 9 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
99
Voted
EDM
2009
184views Data Mining» more  EDM 2009»
14 years 7 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
BMCBI
2010
123views more  BMCBI 2010»
14 years 4 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
INFOCOM
2011
IEEE
14 years 1 months ago
Continuous multi-dimensional top-k query processing in sensor networks
—Top-k query has long been an important topic in many fields of computer science. Efficient implementation of the top-k queries is the key for information searching. With the n...
Hongbo Jiang, Jie Cheng, Dan Wang, Chonggang Wang,...