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» Mining autograding data in computer science education
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69
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DIS
2006
Springer
15 years 1 months ago
Mining Sectorial Episodes from Event Sequences
In this paper, we introduce a sectorial episode of the form C r, where C is a set of events and r is an event. The sectorial episode C r means that every event of C is followed b...
Takashi Katoh, Kouichi Hirata, Masateru Harao
ITICSE
2009
ACM
15 years 4 months ago
Hybrid and custom data structures: evolution of the data structures course
The topic of data structures has historically been taught with two major focuses: first, the basic definition and implementation of a small set of basic data structures (e.g. list...
Daniel J. Ernst, Daniel E. Stevenson, Paul J. Wagn...
VRML
2004
ACM
15 years 3 months ago
Interactive Web-based visualisation of block model data
Mining operations have traditionally used specialised software packages to process and visualise valuable mining data. The downside to this approach is that the information can on...
Tony Gill, Con Caris, Guy LeBlanc Smith
82
Voted
ACMSE
2009
ACM
15 years 4 months ago
A hybrid approach to mining frequent sequential patterns
The mining of frequent sequential patterns has been a hot and well studied area—under the broad umbrella of research known as KDD (Knowledge Discovery and Data Mining)— for we...
Erich Allen Peterson, Peiyi Tang
ITICSE
2006
ACM
15 years 3 months ago
Students learn CS in different ways: insights from an empirical study
This empirical study demonstrates that students’ learning of computer science takes place in qualitatively different ways. The results consist of categories, where each category...
Anders Berglund, Mattias Wiggberg