print

Finding rules of stock exchange movements using inter-transaction ct-pro algorithm

---

Stocks have a major role in the economic world. In fact, the stock transactions can directly affect a company financially by driving the capital of the company itself. However, company stock activity forecasting is a challenging issue which is a high demand in corporate firms. Thus, there is a necessity to develop an application which has the ability to forecast the stock activity accurately. Therefore, this research proposes a data mining based application. The main objective of this research is to discover hidden relationships between different stocks that can help decision makers to predict the future stock prices using association rule mining algorithm. The number of relationships that can be discovered will also be evaluated by experimenting and adjusting various different conditions. This research provides an enhanced association rule mining technique by utilizing inter-transaction under compressed tree algorithm called Inter-Transaction CT-PRO to mine the stock data in an inter-transactional approach.

---

Availability

B00539

(wh)

Available

Detail Information

Series Title

-

Call Number

539

Publisher

: Swiss German University., 2009

Collation

-

Language

English

ISBN/ISSN

-

Classification

NONE

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

IT

Specific Detail Info

-

Statement of Responsibility

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment