Papers by kanchan khedikar
Abstract- Cloud computing is a model for enabling convenient, on-demand network access to a share... more Abstract- Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction (U.S. National Institute of Standards and Technology (NIST))[1]. Cloud services are popular because they can reduce the cost and complexity of owning and operating computers and networks. Since cloud users do not have to invest in information technology infrastructure, purchase hardware, or buy software licenses, the benefits are low up-front costs, rapid return on investment, rapid deployment, customization, flexible use, and solutions that can make use of new innovations [2]. Big data analytics and cloud computing are Two IT initiatives. Both technologies continue to evolve. Organizations are moving beyond questions of what and how to store big data to addressing how to deriv...
Social Science Research Network, 2021
The use of big data has sharply increased in recent years. As indicated by IBM, about 2.5 quintil... more The use of big data has sharply increased in recent years. As indicated by IBM, about 2.5 quintillion bytes of information are made each day. In future these amounts are increase exponentially. This data has been a boon for business means if we extract knowledge from massive data and use for the prediction of business decisions then its beneficial for both companies and their customers. Massive datasets volume is big, velocity is high and variety is diverse. These datasets are very difficult to handle using traditional techniques. So Data Analytics is essential to analyze the data. For better decision making the process of inspecting, refining, transforming, and modeling data is required which discover valuable information. This process is Data Analytics process. This paper focuses on some of the different analytics methods and tools.
Mining data is related to extracting interesting patterns or knowledge from huge amount of data a... more Mining data is related to extracting interesting patterns or knowledge from huge amount of data available on existing resources. By interesting we mean, patterns are nontrivial implicit, previously unknown and potentially useful facts. In Data Mining techniques, huge amounts of data is being mined. The goal of data mining is to convert such data into useful information & knowledge. This paper relates about data mining models, its applications in various fields and tools used for data mining. This survey paper gives explanation of different data mining techniques such as clustering, classification, association rule. Various tasks like Dependency analysis, Class identification, Concept description, Deviation detection and Data visualization are also touched. This paper also explains two very important data mining tools that is Weka and Orange. Key WordsData mining, Knowledge discovery database, classification, clustering, association rules, web mining
Uploads
Papers by kanchan khedikar