Inter-transaction association mining in Indonesia stock exchange

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Inter-transaction association mining in Indonesia stock exchange

Pahlevi, Bagus - Personal Name; Widiputra, Harya Damar - Personal Name;

Stock exchanges have a major impact on the Indonesia economy and the world. Stock activity forecasting is still a challenging issue which is a high demand for stock actors. Therefore, there is still a need to develop an application that is able to accurately predict the stock movements. This research proposes a data mining web based application. This research is to discover relationship between one stock company with other stocks company, that can help to predict the future stock prices movements using inter-transaction association rule mining algorithm. The relationship could be discovered will also be evaluated by experimenting.

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B01167 (wh) Available

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Series Title: -
Call Number: 1167
Publisher: : Swiss German University., 2012
Collation: -
Language: English
ISBN/ISSN: -
Classification: NONE
Content Type: -
Media Type: -
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Edition: -
Subject(s): IT
Specific Detail Info: -
Statement of Responsibility: -

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