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Aggarwal, Himanshu
- “Survey of Various Techniques for WebUsage Minning”
Authors
1 Department of Computer Engineering, University College of Engineering, Punjabi University, Patiala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 5 (2011), Pagination: 246-269Abstract
Web usage mining is the area of data mining which deals with the discovery and analysis of usage patterns from Web data, specifically web logs, in order to improve web based applications. Web usage mining consists of three phases, pre-processing, pattern discovery, and pattern analysis. After the completion of these three phases the user can find the required usage patterns and use these information for the specific needs. This paper presents several data preparation techniques in order to identify unique users and user sessions. It also provides a detailed information of various Web usage mining areas to work in. The survey of the existing work is also provided. Finally, a brief overview of the applications of Webusage mining (Letizia, WebSIFT, Adaptive Websites).Keywords
World Wide Web, Data Mining, Web Usage Mining, Information Retrieval, Information Extraction.- Information Systems in Engineering Colleges of Punjab-Design, Implementation and Challenges
Authors
1 Department of Computer Engineering, Punjabi University, Patiala, IN
2 Department of Computer Science, Chandigarh Engineering College, Landran(Mohali), IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 1 (2011), Pagination: 28-39Abstract
A large number of engineering colleges in Punjab have started to solve problems of strategic planning and control systems improvement by means of modern information communication technologies only few years ago. Despite of use of computers and local area networks, there are a large amount of troubles and barriers basically of organizational and methodical character which are necessary to solve for successful MIS introduction. The purpose of the paper is to purpose a design of MIS for colleges, examine the implementation level of management information systems in various colleges of Punjab and scrutinize various challenges to it. The study used the qualitative survey methodology. Data were collected from a sample of 50 subjects from various colleges in Punjab. Data collected were analyzed, graphs were formulated and challenges were scanned.
Keywords
Management Information System (MIS), Colleges, Decision Making, Challenges, Implementation.- BMP to JPEG-The Conversion Process
Authors
1 Department of Computer Engineering, Punjabi University, Patiala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 1 (2011), Pagination: 186-198Abstract
Images of different formats are generated, edited and transmitted on a very regular basis in a vast number of systems today. The BMP format is the native format for the Windows World and vast majority of windows-based applications supports this format. But a BMP image is quite large and voluminous. It becomes cumbersome to move it around in bandwidth constrained systems or where bandwidth is to be conserved for cost purposes such as the World Wide Web. Such scenarios demand use of a conversion technique to a format which is compact, such as JPEG, which compresses the image to a high degree with little loss in perceived quality of the image. This report deals with the steps used for converting an image stored in BMP format to JPEG format.- Review on Machine Learning
Authors
1 Department of Computer Engineering, Punjabi University, Patiala, Punjab, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 22 (2016), Pagination: 414-418Abstract
In this paper an prevalent review of the study of machine learning, its types and techniques are provided. Machine Learning is the computational methods which are studied for improving performance by mechanizing, and the acquisition of knowledge from experience and convert it into expertise. In the field of Machine Learning one considers the important question that how we can make machines able to "learn". The paper is describing the classification, regression and their techniques of supervised learning and overview on unsupervised learning. In this paper we will review some techniques of supervised learning like k-nearest neighbor classification, decision trees, Neural networks.Keywords
Machine Learning, Regression, Supervised Learning, Unsupervised Learning.- Blockchain Technology : A Survey on Applications beyond Cryptocurrency
Authors
1 Student (MCA), IN
2 Student (MCA), Department of Computer Science & Application, DAV University, Jalandhar, IN
3 Associate Professor, Department of Computer Science & Application, DAV University, Jalandhar, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 35, No SP (2023), Pagination: 55-61Abstract
In the hyper-connected world, data has been playing a significant role in earthing the system of every domain that one can think of. But, it is undeniable fact that today data has prone to serious threats as it was never before, which has questioned the reliability, integrity as well as security of data. So, the technology has emerged that can mitigate all these issues, and that technology is none other than the technology residing at the heart of Bitcoin, The Blockchain.
Blockchain is one of the powerful technologies that has brought a revolution in conventional trading techniques. Conceptually, it is an open and distributed ledger that maintains an irrefutable database of records of all transactions or values that have been executed and shared peer-to-peer directly obsoleting the need for trust-worthy intermediatory in a secure, verifiable, moreover, in a permanent way alleviating the risk of fraud.
The main objective of this paper is not only to make blockchain a common business trading language but also to present its compelling applications in contrasting domains that are beyond currency rides, specifically in healthcare, politics, and its strategic implications in bridging strong economy using smart contracts that can revolutionize our digital global village.
Keywords
Bitcoin, Blockchain, Open-Ledger, Miners, Healthcare, Supply Chain, Smart Contracts.References
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