A. HajYasein an and A. Ishtaiwi, " Survey on Privacy Preserving in Data Mining Tasks " , "albalqa journal for research",Vol.,No., , Amman, jordan, 01/01/2009
Abstract—A key characteristic in Dynamic Local Search Techniques
(DLS) is the use of weights while searching for a solution
to a Satisfiability problems (SAT). Thus, weights handling plays a
major role in the over all performance of a given DLS technique.
Unfortunately, there are no general appr
Ishtaiwi, A., Thornt, " Neighbourhood Clause Weight Redistribution in Local Search for SAT. " , "Principles and Practice of Constraint Programming - CP 2005, 11th International Conference",Vol.,No., Springer, Sitges, Spain, 03/16/2005
Pham, D. N., Thornto, " SAT-based versus CSP-based Constraint Weighting for Satisfiability. " , "Proceedings of the 20th National Conference on Artificial Intelligence, AAAI 2005",Vol.,No., AAAI Press / The MIT Press 2005, Pittsburgh, Pennsylvania, USA, 03/16/2005
Ishtaiwi, A., Thornt, " Adaptive Clause Weight Redistribution. " , "",Vol.,No., , , 04/15/2006
Ishtaiwi, A., Thornt, " Weight Redistribution for Unweighted MAX-SAT " , "AI 2007: Advances in Artificial Intelligence, 20th Australian Joint Conference on Artificial Intelligence.",Vol.,No., Springer, Gold Coast, Australia, 09/04/2007
Abstract—Since 1991, tries were made to enhance the
stochastic local search techniques (SLS) in many different ways.
Some researchers turned their focus on studying the structure of
the satisfiability problems to better understand their complexity
in order to come up with better algorithms that