Having adequate, sufficient and timely information and data is very important for investors' decision making. Processing information and allocating the asset are two fundamental tasks in the securities market and the stock price is more likely to have the nature of disclosure, information effectiveness and asset allocation efficiency. Thus, in this research, the effects of large block transacti...

Data quality is a vital topic for business analytics in order to gain accurate insight and make correct decisions in many data-intensive industries. Albeit systematic approaches to categorize, detect, and avoid data quality problems exist, the special characteristics of time-oriented data are hardly considered. However, time is an important data dimension with distinct characteristics which aff...

Background: Business process management systems (BPM) can automate all processes in an organization. These systems provide the possibility of identifying, modeling, deploying, implementing, function managing, integrating with other information systems, monitoring and improving an organization's business processes in a standard form. As far as the authors know, no related resear...

Trends in business intelligence, e-commerce and remote access make it necessary and practical to store data in different ways on multiple systems with different operating systems. As business evolve and grow, they require efficient computerized solution to perform data update and to access data from diverse enterprise business applications. The objective of this paper is to demonstrate the capa...

Within the span of a few years, image processing has evolved from an esoteric, expensive technology to an indispensable tool used by modern businesses to manage the overwhelming flood of paperwork. Some of the background for this evolution and the development of the IBM system solution for image processing, Image-Plus", are described in this paper. I nformation is the lifeblood of the modem bus...

DEFINITION On-line Analytical Processing (OLAP) describes an approach to decision support, which aims to extract knowledge from a data warehouse (see Data Warehouse definitional entry), or more specifically, from data marts (see Data Mart definitional entry). Its main idea is providing navigation through data to non-expert users, so that they are able to interactively generate ad-hoc queries wi...

RFID systems should be designed to process a large number of RFID data in real time. Therefore, there have been much research and company studies regarding RFID data processing. One of methods is CEP (Complex Event Processing), which can provide a method to process RFID data efficiently. However, previous work is just focused on raw RFID data processing, such as data filtering, the elimination ...

Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidden) knowledge for improving business processes the application of data mining technology is the only way for reaching good and efficient results, as opposed to purely manual and interactive data exploration. This paper ...