Learn More
All Rights Reserved iii To my family: my mother, my father, my wife and kids, and my sister. They have always helped and supported me. iv Acknowledgments First and foremost, all thanks are due to God, for giving me the strength and persistence to go through six years of graduate work. Second, I would like to thank my thesis adviser, Prof. Pietro Perona, for(More)
Retroot of heat exchanger networks (RHEN) has not taken as much attention in the literature as the grassroots design of heat exchanger networks (HEN). The problem has been partially solved, either with optimisation techniques which failed in real life large scale applications or with pinch technology which did not ooer much help for RHEN in contrast with(More)
Several algorithms have been introduced for mining frequent itemsets. The recent dataset-transformation approach suffers either from the possible increasing in the number of structures that could be produced through the execution of the algorithm or from the problem of the processing time in either projecting or decomposing the datasets. Moreover, the(More)
Ensemble learning technique attracted much attention in the past few years. Instead of using a single predictor, this approach utilizes a number of diverse accurate predictors to do the job. Many methods have been proposed to build such accurate diverse ensembles, of which bagging and boosting were the most popular. Another method, called Feature Subset(More)
  • 1