In the network security domain Intrusion detection systems (IDS) are known for their problems in creating huge amounts of data and especially false positives. Several approaches, originating in the machine learning domain, have been proposed for a better classification. However, threat prioritization has also shown, that a distinction in true and false positives is not always sufficient for a p...

The topic of test case prioritization has been researched extensively in the past decade. However, current researches carried out on test case prioritization are mainly concerned with independent test cases in a structural testing environment. In a specification-based testing environment, however, some test cases are inter-case dependent and must follow certain sequences of execution. The objec...

Regression testing is extremely very expensive process for software development and maintenance. Whenever software is modified then re-executing all the test cases that have previously tested to ensure that there no new errors have been introduced in the code due to modification. For this researchers can prioritize the test cases to increase the effectiveness of the testing process and to reduc...

Disease-causing aberrations in the normal function of a gene define that gene as a disease gene. Proving a causal link between a gene and a disease experimentally is expensive and time-consuming. Comprehensive prioritization of candidate genes prior to experimental testing drastically reduces the associated costs. Computational gene prioritization is based on various pieces of correlative evide...

Product managers in software companies are confronted with a continuous stream of incoming requirements. Due to limited resources they have to make a selection of those that can be implemented. However, few prioritization techniques are suitable for prioritizing larger numbers of requirements. Binary Priority List (BPL) is a binary search based technique for prioritizing requirements. Academics...

Personalized search engines must be able to cope with various user preferences, retrieving the best matches to a query. For SQL and XML applications new methods for such preference-based searches have been implemented recently. Here we adopt this approach to keyword search in full-text search engines. We propose to augment the vector space model (VSM) by preference constructors having an intuit...

The Biograph project is a biomedical knowledge discovery project combining graph data mining with structured biomedical information and with text mining on medline abstracts. It is a cooperation between the molecular genetics, data mining, and computational linguistics research groups of the University of Antwerp. In this talk, I will outline the general architecture of the system, which is cur...

— Several Multi-Criteria Decision Making (MCDM) methods involve pairwise comparisons to obtain the preferences of decision makers (DMs). This paper proposes a fuzzy group prioritization method for deriving group priorities/weights from fuzzy pairwise comparison matrices. The proposed method extends the Fuzzy Preferences Programming Method (FPP) by considering the different importance weights of...

The paper proposes a new approach for tackling the uncertainty and imprecision of the reasoning process while using decision support tools during prenegotiations. The pre-negotiation problem is regarded as decision making under uncertainty, based on multiple criteria of quantitative and qualitative nature, where the imprecise decision-maker’s judgments are represented as fuzzy numbers. A new fu...

Software Testing is continuous process of development and maintenance in life of software. In maintenance phase, regression testing gets exercisedwith additional resources/time for performance. The prioritization of test cases helps to reduce the cost-time of regression testing. Hence, completing Regression Testing effectively and on schedule is challenge for software tester. In this research p...