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138
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ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
15 years 6 months ago
Mining Various Patterns in Sequential Data in an SQL-like Manner
Abstract. One of the most important data mining tasks is discovery of frequently occurring patterns in sequences of events. Many algorithms for finding various patterns in sequenti...
Marek Wojciechowski
84
Voted
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
15 years 6 months ago
Towards the Personalization of Algorithms Evaluation in Data Mining
Like model selectionin statistics,the choiceof appropriate Data Mining Algorithms (DM-Algorithms) is a very importanttask in the processof KnowledgeDiscovery.Due to this fact it i...
Gholamreza Nakhaeizadeh, Alexander Schnabl
117
Voted
EDM
2008
129views Data Mining» more  EDM 2008»
15 years 4 months ago
Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study
In this paper we describe an educational data mining (EDM) case study based on the data collected during the online assessment of students who were able to immediately receive tail...
Mykola Pechenizkiy, Toon Calders, Ekaterina Vasily...
137
Voted
EDM
2008
117views Data Mining» more  EDM 2008»
15 years 4 months ago
Integrating Knowledge Gained From Data Mining With Pedagogical Knowledge
Abstract. Discovering knowledge from raw data is one of the goals of data mining. Yet, it is not always clear how this knowledge is used in educational computing systems and how ex...
Roland Hübscher, Sadhana Puntambekar
135
Voted
IJISTA
2008
95views more  IJISTA 2008»
15 years 2 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach