When an investor believes a stock is overvalued and will soon drop in price, he might decide to "short" it. First, he borrows an amount of the stock, and then sells it. He waits for the stock to tank and then buys back the same amount of shares at a deflated price. After returning the shares to...

Table of Contents -- Preface -- Acknowledgments -- Part I: Framework to Finding Short Ideas -- 1. Due Diligence in Short Selling -- 2. Leveraged Businesses: The Upside and Downside -- 3. Structural Issues in Industries -- 4. Recipes for Cooked Books: Accounting Misstatements and Shenanigans --...

Wireless local area networks (WLANs), like IEEE 802.11, are right now very common in numerous outdoor or indoor environments for providing wireless communication among WiFi-enabled devices by accessing an Access Point (infrastructure mode) or through peer to peer connections (ad hoc mode)....

A data warehouse is a central repository of historical data designed primarily to support analytical processing. These analytical queries are exploratory, long and complex in nature. Further, the rapid and continuous growth in the size of data warehouse increases the response times of such...

This article describes how for the last few decades, data mining research has had significant progress in a wide spectrum of applications. Research in prediction of multi-domain data sets is a challenging task due to the imbalanced, voluminous, conflicting, and complex nature of data sets. A...

The present research work proposes a mathematical model of thermal power plant to analyse its performance through reliability measures. Evaluation of reliability measure for thermal power plant is a complex process. The thermal power plant is modelled using Markov process and explored the...

An ideal face-to-face tutor learner interaction aims to offer learning to the learner in a manner that best suits an individual learner's learning level and learning style. This ability of differentiated instruction has been built in Seis-Tutor Intelligent Tutoring system, developed to offer...

This article describes how, recently, data mining has been in great use for extracting meaningful patterns from medical domain data sets, and these patterns are then applied for clinical diagnosis. Truly, any accurate, precise and reliable classification models significantly assist the medical...