Muhammad Shaheen Khan Tanoli has been enrolled in PhD (Computer Science) at University of Engineering & Technology Lahore, Pakistan. He has got M.Phil in Computer Science with a Gold medal in academics and research and M.Sc (Computer Science) – Gold Medalist. Mr. Shaheen has contributed at different research journals and conferences across the world. His research interests are Data Mining, Software metrics, Operations research and GIS
Decisions about installations of pipelines in gas industry determine the directions and course of billion rupees every year. The complexity of decision can range from simple to complex but analytical. These decisions determine cost of installation, operational optimization, timing of increasing facility capacity and long term utilization of pipeline. The complicated decisions within a company can take months of preparation. This paper addresses the mechanism to introduce decision trees (data mining) in pipeline industry to optimize the decisions.