Efficient Mining Of Emerging Patterns In Time Series Stock Data
A Prediction Model
Data mining involves the use of different data analysis tools to find unknown patterns and relationships in large data sets. These tools could include statistical and mathematical models, and machine learning tools. The trading in a stock market involves understanding of various techniques and relevant methodology. Trend analysis and prediction played a vital role in practical stock trading. The data mining researchers have put in great efforts to generate rules and the emphasis was always to generate an optimal number of rules so that an emerging pattern could be identified. It explores the modeling of data mining techniques along with the t…
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Produktdetails
Weitere Autoren: Kalia, Arvind
- ISBN: 978-3-330-03944-5
- EAN: 9783330039445
- Produktnummer: 37543646
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 224 S.
- Masse: H22.0 cm x B15.0 cm x D1.3 cm 352 g
- Abbildungen: Paperback
- Gewicht: 352
Über den Autor
Dr. Mukesh Kumar obtained his PhD degree in Computer Sciences from H.P.University, Shimla, India and is working as a Project Director (ERP) in H.P. University Shimla. His area of interest is Data Mining, Time Series Databases and Frequent Pattern Mining. He contributed various research papers in International Journals of repute.
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