of data, with the growing knowledge of corporations and public to keep their sensitive data private, there is a definite demand for data mining services even when the data owners refuse to provide their data directly. In the past, techniques such as random perturbation were used by data owners before sharing the data with a third-party data miner. But, even these techniques are likely to experience privacy-violation. In this paper, a completely different approach has been discussed. Each data owner
Students’ Performance Prediction using Enhanced Data Mining Techniques Dharani L,Indumathi V,AshmitaRenu C J and Akshay Kumar S L Computer Science and Engineering, K S Rangasamy College of Technology, Tiruchengode, Tamilnadu, India dharanigowthami14@gmail.com Computer Science and Engineering, K S Rangasamy College of Technology, Tiruchengode, Tamilnadu, India induvarugiri@gmail.com Computer Science and Engineering, K S Rangasamy College of Technology, Tiruchengode, Tamilnadu, India ashmitharenu@gmail
Benefits of data warehouse Data warehouse helps in solving and managing the data from various sources and transactional systems with more speedy and efficiently, and converts those data into practical information. Along with, data warehouse serves in processing of large and complex queries in a highly efficient manner. Here are some benefits of data warehouse after the successful implementation: I. Data warehouse helps in the Enhancement of Business Intelligence: Managers and executives will be
Abstract The “big data” and “big data mining” are the terms which are growing on increasing as the use of internet, smartphones and the networking technologies are increasing. The data generation rate get doubled or tripled in some recent years. So to make proper usefulness of this vast amount of data, mining from big data has almost immediately followed up as an emerging interrelated research area. This paper provides an overview of big data mining along with the challenges that one has to face
Chapter 1 INTRODUCTION 1.1 Introduction The objective of information mining is to remove the irrelevant data of extracted information is to digest associate newcomer clarify of robust measure of text [1]. Information mining is an interdisciplinary area, whose spoiled is at the point of view of hardware lifestyle, insights, and databases [2-8]. To clarify and dissect the utilization information mining to accentuate to find learning that is precise, as well as intelligible for the client [9]. In
Nowadays, big data become more familiar because of its importance and the advantages to the technology world right now. The ability of big data makes data become almost identified as one of the key trends driving change in the 21st century. Data are variously described as the ‘data revolution’ the ‘era of big data’, or more simply known as ‘big data’. So, what is big data? Big data is a term that are describes the large volume of many types of data and both of the data is structured and unstructured
methodologies and techniques in this field for crime investigation. Using the methods like image processing, based on data mining, forensic, and social mining. Developing a good crime analysis tool to identify crime patterns quickly and efficiently for future crime pattern detection is required. Data mining is a process that uses a variety of data analysis tools to discover
Chapter 1 Introduction The definition of big data is not clear of the exact limits of big data. According to Manyika et al.(2011), big data refers to data whose magnitude exceeds the normal database application tools to store, analyze and manage. From the above definition, it is hard to determine the limits that qualify a dataset to be considered big data. Therefore, an assumption is made that as technology advances, the size and limits of big data will also increase. In addition, it is important
relating to data quality in the data warehouse are resolved through the planning, using evaluation criteria for the data quality, through total data quality management and classification of problems relating to data quality in the data warehouse, evaluating the data warehouse structure regarding the quality and using the instruments for data quality, quality control standards and metadata quality control system. 4. A study was done on a descriptive classification of causes of data quality problems
Research Proposal On A Study towards Text Mining Approach for Effective Decision Making In Health Care System Submitted By: Narendra Kumar Sharma Enrollment No. : A7353617001 PhD (Information Technology) Amity University Amity University Campus, Malhaur (near railway station), Gomti Nagar Extension, Lucknow - 226028 A Study towards Text Mining Approach for Effective Decision Making In Health Care System Health Care System: A health system, also sometimes referred