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Incremental mining of sequential patterns: Progress and challenges
Sequential pattern mining is a vital problem with broad applications. However, it is also
challenging, as combinatorial high number of intermediate subsequences are generated …
challenging, as combinatorial high number of intermediate subsequences are generated …
Log processing and analysis
(57) ABSTRACT A log of execution of an executable program is obtained. Log messages
contained in the log are parsed to generate object identifiers representative of instances of …
contained in the log are parsed to generate object identifiers representative of instances of …
Discovering hybrid temporal patterns from sequences consisting of point-and interval-based events
SY Wu, YL Chen - Data & Knowledge Engineering, 2009 - Elsevier
Previous sequential pattern mining studies have dealt with either point-based event
sequences or interval-based event sequences. In some applications, however, event …
sequences or interval-based event sequences. In some applications, however, event …
A multiparadigm intelligent tutoring system for robotic arm training
To assist learners during problem-solving activities, an intelligent tutoring system (ITS) has
to be equipped with domain knowledge that can support appropriate tutoring services …
to be equipped with domain knowledge that can support appropriate tutoring services …
Software process evaluation: a machine learning framework with application to defect management process
Software process evaluation is important to improve software development and the quality of
software products in a software organization. Conventional approaches based on manual …
software products in a software organization. Conventional approaches based on manual …
Efficient mining of robust closed weighted sequential patterns without information loss
U Yun, G Pyun, E Yoon - International Journal on Artificial …, 2015 - World Scientific
Sequential pattern mining has become one of the most important topics in data mining. It has
broad applications such as analyzing customer purchase data, Web access patterns …
broad applications such as analyzing customer purchase data, Web access patterns …
Sequential pattern mining algorithms review
JK Febrer-Hernández… - Intelligent Data …, 2012 - journals.sagepub.com
From the beginning of sequential pattern mining to the present, this field has received
important attention within the data mining area, because it has a wide application in several …
important attention within the data mining area, because it has a wide application in several …
Learning task models in ill-defined domain using an hybrid knowledge discovery framework
Domain experts should provide Intelligent Tutoring Systems (ITS) with relevant domain
knowledge that enable it to guide the learner during problem-solving learning activities …
knowledge that enable it to guide the learner during problem-solving learning activities …
Myrinet--a gigabit-per-second local-area network
C Seitz - Symposium Record Hot Interconnects II, 1994 - computer.org
Common sequential pattern mining algorithms handle static databases. Once the data
change, the previous mining result will be incorrect, and we need to restart the entire mining …
change, the previous mining result will be incorrect, and we need to restart the entire mining …
Incremental discovery of sequential patterns using a backward mining approach
Common sequential pattern mining algorithms handle static databases. Once the data
change, the previous mining result will be incorrect, and we need to restart the entire mining …
change, the previous mining result will be incorrect, and we need to restart the entire mining …