Data Mining - Concepts and Techniques.

Data Mining Practical Machine Learning Tools and Techniques

In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.

Thinking fast and slow.

หนงสอเรอง การออกแบบการวจย: วธการวจยเชงคณภาพ วธการวจยเชงปรมาณ และวธการวจยแบบผสม (Research Design: Qualitative, Quantitative, and Mixed Method Approaches) เปนหนงสอทเรยบเรยงเพออธบายเกยวกบความแตกตางของกระบวนทศนการวจยทง 2 แบบ ไดแก การวจย เชงปรมาณ และการวจยเชงคณภาพ และความจำเปนของประเดนปญหาการวจยทตองนำกระบวนทศนทง 2 มารวมกนหาขอคนพบเพอนำไปสผลการวจยทสามารถนำผลการวจยไปใชประโยชนไดอยางจรงมากยงขน เรยกวา “การวจยแบบผสมผสาน” ซงเปนหนงสอทอธบายวธการวจยทง 2 ประเภทไดอยางชดเจน และการรวมกนของกระบวนทศนการวจยทง 2 แบบอยางลงตว

Research Design: Qualitative, Quantitative, and Mixed Method Approaches

Open Innovation: The New Imperative for Creating and Profiting from Technology

Blockchain is disrupting the banking industry and contributing to the increased big data in banking. However, there exists a gap in research and development into blockchain-ed big data in banking f...

/pdf/banking-with-blockchain-ed-big-data-46wk8t433h.pdf

Banking with blockchain-ed big data

Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis

This paper introduces a complement statistical test for distinguishing between the predictive accuracy of two sets of forecasts. We propose a non-parametric test founded upon the principles of the Kolmogorov-Smirnov (KS) test, referred to as the KS Predictive Accuracy (KSPA) test. The KSPA test is able to serve two distinct purposes. Initially, the test seeks to determine whether there exists a statistically significant difference between the distribution of forecast errors, and secondly it exploits the principles of stochastic dominance to determine whether the forecasts with the lower error also reports a stochastically smaller error than forecasts from a competing model, and thereby enables distinguishing between the predictive accuracy of forecasts. We perform a simulation study for the size and power of the proposed test and report the results for different noise distributions, sample sizes and forecasting horizons. The simulation results indicate that the KSPA test is correctly sized, and robust in the face of varying forecasting horizons and sample sizes along with significant accuracy gains reported especially in the case of small sample sizes. Real world applications are also considered to illustrate the applicability of the proposed KSPA test in practice.

https://www.econstor.eu/bitstream/10419/171841/1/845473824.pdf

A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts

Forecasting accuracy evaluation of tourist arrivals

The Encyclopedia of Tourism Management and Marketing is, quite simply, the definitive reference work in the field. Carefully curated by leading tourism scholar Dimitrios Buhalis, this is the largest tourism management and marketing ontology that has ever been put together and offers a holistic examination of this interdisciplinary field This is a 4-volume set. Volume 1 contains entries A–D, Volume 2 contains entries E–I, Volume 3 contains entries J–R and Volume 4 contains entries S–Z. Page numbers start from 1 in each volume. 

Emmanuel Sirimal Silva

Papers

Banking with blockchain-ed big data

Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis

A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts

Forecasting accuracy evaluation of tourist arrivals

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