Data Mining to Business Analytics. Finance, Budgeting and Investments - Patni, Jagdish Chandra;Sharma, Hitesh Kumar;Tomar, Ravi
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Academic Paper from the year 2017 in the subject Computer Science - General, grade: 5, University of Petroleum and Energy Studies, language: English, abstract: This paper utilizes the distinctive mining techniques as an answer for business needs. It presents Finance, Budgeting and Investments as the principle working ground for the data mining algorithms actualized.With the increment of monetary globalization and development of information technology, financial data are being produced and gathered at an extraordinary pace. Thus, there has been a basic requirement for automated ways to deal…mehr

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Produktbeschreibung
Academic Paper from the year 2017 in the subject Computer Science - General, grade: 5, University of Petroleum and Energy Studies, language: English, abstract: This paper utilizes the distinctive mining techniques as an answer for business needs. It presents Finance, Budgeting and Investments as the principle working ground for the data mining algorithms actualized.With the increment of monetary globalization and development of information technology, financial data are being produced and gathered at an extraordinary pace. Thus, there has been a basic requirement for automated ways to deal with compelling and proficient usage of gigantic measure of data to support companies and people in doing the Business.Data mining is turning out to be strategically imperative region for some business associations including financial sector. Data mining helps the companies to search for hidden example in a gathering and find obscure relationship in the data. Financial Analysis alludes to the assessment of a business to manage the arranging, budgeting, observing, forecasting, and enhancing of every financial point of interest inside of an association. The task concentrates on comprehension the association's financial health as a major part of reacting to today's inexorably stringent financial reporting prerequisites. It exhibits the capacity of the data mining to robotize the procedure of looking the boundless customer's connected data to discover patterns that are great indicators of the practices of the customer. This will cover the analysis of: Profit arranging, Cash flow analysis, Investment decisions and risk analysis, Dividend Policies and Portfolio Analysis through algorithms like Apriori, Naivebayes, Prediction algorithm and so forth. Along these lines this Data mining arrangement actualizes advanced data analysis techniques utilized by companies for discovering startling patterns extricated from tremendous measures of data, patterns that offer applicable knowledge for anticipating future results. The undertaking gives a thought of how data mining abilities can give the expanded customer maintenance and minimizes the risk included in the financial sectors to accomplish upper hand and finishes up by giving the constraints and opportunities in this field.
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Autorenporträt
Dr. Jagdish Chandra Patni is working as Associate Professor at School of Computer Science , University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India. He did his Ph.D. in the area of High Performance computing in 2016 . He competed his M. Tech. and B. Tech. in the year 2009 and 2004 respectively. Dr Patni is actively working in the research areas of Database Systems, High Performance computing, Software Engineering, Machine Learning and IoT. He has authored more than 50 research articles in the journal and conferences of repute nationally and internationally. Dr Patni have authored 5+ books and book chapter with international publishers like Springer. He is active Guest Editor/Reviewer of various referred International journals. He has delivered 15 Keynote/Guest speech in India and abroad. He has organized multiple conferences/seminars/workshops/FDP's in India and abroad. He has been awarded by researcher of year award in year 2018 by SRD, teacher of the year 2020 b