M. H. Saboo Siddik College of Engineering

About: M. H. Saboo Siddik College of Engineering is a based out in . It is known for research contribution in the topics: Computer science & Multiple-criteria decision analysis. The organization has 176 authors who have published 80 publications receiving 405 citations.

Application of data mining in educational databases for predicting academic trends and patterns

Abstract: Data mining is a process of identifying and extracting hidden patterns and information from databases and data warehouses. There are various algorithms and tools available for this purpose. Data mining has a vast range of applications ranging from business to medicine to engineering. In this paper, we discuss the application of data mining in education for student profiling and grouping. We make use of Apriori algorithm for student profiling which is one of the popular approaches for mining associations i.e. discovering co-relations among set of items. The other algorithm used, for grouping students is K-means clustering which assigns a set of observations into subsets. In the field of academics, data mining can be very useful in discovering valuable information which can be used for profiling students based on their academic record. We apply Apriori algorithm to the database containing academic records of various students and try to extract association rules in order to profile students based on various parameters like exam scores, term work grades, attendance and practical exams. We also apply K-means clustering to the same set of data in order to group the students. The implemented algorithms offer an effective way of profiling students which can be used in educational systems.

Evaluation of critical constructs for measurement of sustainable supply chain practices in lean‐agile firms of Indian origin: A hybrid ISM‐ANP approach

Abstract: The purpose of this paper is to evaluate the critical criteria that are influencing the successful implementation of sustainable supply chain practices (SSCP) in the lean‐agile manufacturing firm. From the systematic literature review and field professionals' opinion, various criteria that are influencing sustainable supply chain were identified. Data were collected from 16 experts and analysed by an integrated approach of “interpretive structural modeling (ISM) and analytic network process (ANP).” ISM methodology was utilized to get a hierarchical relationship between all criteria. Further, the input to the ANP matrices was taken from the output of ISM, and three organizations that differ in their principle of operation were ranked to find out the extent of implementation of SSCP in the Indian context. The obtained results indicate that “Information technology‐enabled system support (ITS), SC member's awareness and literacy (SAL), Societal issues (SIS), and Scarcity of natural resources (SNR)” were most significant constructs for successful implementation of SSCP for the case organizations.

Multi-purpose platform independent online voting system

Abstract: The voting system is the backbone of every democracy and organization The voting system has experienced many efficient changes in the past few decades There are various voting techniques used such as Paper Ballot Voting System, E-Voting System also known as Electronic Voting System, Internet Voting System, SMS and Miss Calls Voting System In this paper, we have discussed various voting system and their advantages and disadvantages The primary goal of this paper is to make the voting system multipurpose and make it work multiplatform on any operating system