FORECASTING FINANCIAL CYCLES: CAN BIG DATA HELP?

Can big data help us close an epilepsy care gap?

Epilepsy has been termed an “ambulatory care sensitive condition,” meaning that high-quality outpatient epilepsy care can reduce unnecessary emergency department (ED) visits and hospitalizations. Using this framework, high ED use is a marker of poor disease control or limited access to care. Do all people with epilepsy (PWE) with poorly controlled disease or limited access frequent the ED? Are ...

The 33rd International Symposium on Forecasting: Forecasting with Big Data

Forecasting Fraudulent Financial Statements using Data Mining

This paper explores the effectiveness of machine learning techniques in detecting firms that issue fraudulent financial statements (FFS) and deals with the identification of factors associated to FFS. To this end, a number of experiments have been conducted using representative learning algorithms, which were trained using a data set of 164 fraud and non-fraud Greek firms in the recent period 2...

Big Data Analytics in Financial Market

Big data plays a serious role within the business for creating higher predictions over business information that is collected from the real world. Finance is that the new sector wherever the big data technologies like Hadoop, NoSQL are creating its mark in predictions from financial data by the analysts. It’s a lot of fascinating within the stock exchange choices which might predict on a lot of...

Financial Cycles

Throughout the 1980s and into the early 1990s, the effects of several financial cycles severely battered the banking system of the United States. As used here, the term "cycle" does not imply a recurring phenomenon, but rather a cycle through various phases--as in a boom and bust cycle. Most of these cycles began with a prolonged period of extraordinary growth centered in a particularly risky t...