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This paper introduces a new and expressive algorithm for inducing descriptive rule-sets from streaming data in real-time order to describe frequent patterns explicitly encoded the stream. Data Stream Mining (DSM) is concerned with automatic analysis of streams real-time. Rapid flows challenge state-of-the art processing communication infrastructure, hence motivation research innovation into alg...

It is well known that there cannot be a single “best” heuristic for optimal planning in general. One way of overcoming this is by combining admissible heuristics (e.g. by using their maximum), which requires computing numerous heuristic estimates at each state. However, there is a tradeoff between the time spent on computing these heuristic estimates for each state, and the time saved by reduci...

This paper proposes a heuristic rule for detection of user-to-root (U2R) attacks against Solaris TM operating system. Relevant features for developing heuristic rules were manually mined using Solaris TM Basic Security Module audit data. The proposed rule was tested on both DARPA 1998 and 1999 intrusion detection datasets. Results show that all user-to-root attacks exploiting the suid program w...

In previous lectures, we have discussed that people often use so-called heuristics, e.g. anchoring and the representativeness heuristic, instead of behaving completely rationally. The present lecture, which is based on a paper by Seale and Rapoport (1997), shows how an experiment and a computer-simulation-study can be used to find out what decision rule/heuristic people use in a certain optimal...

Distributed Permutation Flowshop Scheduling Problem (DPFSP) is a newly proposed scheduling problem with a strong engineering background. Whereas there is a body of work on scheduling problems in the past decades, the literature on DPFSPs is scant and in its infancy. Motivated by the good performances of some heuristics in a very recent work, we propose a constructive heuristic algorithm enhance...