Contemporary Perspectives in Data Mining: Volume 4 - PDF & ePUB Download

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Download Contemporary Perspectives in Data Mining: Volume 4 ebook
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  • eBook:
    Contemporary Perspectives in Data Mining: Volume 4
  • Author:
    Kenneth D. Lawrence, Ronald Klimberg
  • Edition:
    -
  • Categories:
  • Data:
    August 1, 2020
  • ISBN:
    1648021433
  • ISBN-13:
    9781648021435
  • Language:
    English
  • Pages:
    164 pages
  • Format:
    PDF

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Description of Contemporary Perspectives in Data Mining: Volume 4 ebook

Download Contemporary Perspectives in Data Mining: Volume 4, pdf, epub free. The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are in business (banking, brokerage, and insurance), marketing (customer relationship, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security and law enforcement.
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Content

SECTION I: FORECASTING AND DATA MINING
1. Combining Forecasting Methods: Predicting Quarterly Sales in 2019 for Motorola Solutions
2. Bayesian Deep Generative Machine Learning for Real Exchange Rate Forecasting
3. Predicting Hospital Admissions and Surgery Based on Fracture Severity: An Exploratory Study

SECTION II: BUSINESS INTELLIGENCE AND OPTIMIZATION
4. Business Intelligence and the Millennials: Data Driven Strategies for America’s Largest Generation
5. Data Driven Portfolio Optimization With Drawndown Constraints Using Machine Learning
6. Mining for Fitness: Analytical Models That Fit You So You Can Be Fit

SECTION III: BUSINESS APPLICATIONS OF DATA MINING
7. H Index Weighted by Eigenfactors of Citations for Journal Evaluation
8. A Method to Determine the Size of the Resampled Data in Imbalanced Classification
9. Performance Measure Analysis of the American Water Work Company by Statistical Clustering

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