The cloud computing is one of the widely used services for resource management by many IT (information technology) and non-IT organizations due to its different benefits in terms of time saving and cost savings to the companies. Such cloud computing frameworks are used to store the small to big data efficiently. Most of companies want to store huge amount of data and hence along with cloud comp...

This paper surveys the field of financial analysis using news data, and also our own considerable work regarding movie gross analysis to show the predictive power of news data. Since the 1990s, linguistic sources such as news have been continuously proved to carry extra and meaningful information beyond traditional quantitative finance data, and thus they can be used as predictive indicators in...

Recently, uncertainty has dominated global financial markets. Companies are struggling with their balance sheets while merges and acquisitions (M&A) happens on a more frequent basis. This calls for highly accurate corporate performance data, which serve as the ground truth for M&A decisions. Conventional financial reporting approach has drawn criticism from both investors and analysts, attribut...

We describe a methodology for explanation generation in financial knowledge-based systems. This offers the possibility to generate explanations and diagnostics automatically to support business decision tasks. The central goal is the identification of specific knowledge structures and reasoning methods required to construct computerized explanations from financial data and models. A multistep l...

We have as input two portfolio of stocks managed by ING bank (North Holland). Each portfolio and each stock is described by several variables every open day of a week and during eight weeks. A portfolio is characterised by variables as its value, its performance, a stock is characterised by variable as its value, its number in the portfolio and its performance. In this paper, we study a symboli...

This chapter describes data mining in finance by discussing financial tasks, specifics of methodologies and techniques in this data mining area. It includes time dependence, data selection, forecast horizon, measures of success, quality of patterns, hypothesis evaluation, problem ID, method profile, attribute-based and relational methodologies. The second part of the chapter discusses data mini...

XBRL (eXtensible Business Reporting Language) facilitates the efficient processing/interpreting of corporate financial information by investors. This paper examines market reactions to financial statement filings in China in the period before and after the XBRL mandate in China to assess the extent to which XBRL may impact the processing of financial information. It finds that absolute price re...