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STOCK TREND PREDICTION USING NEWS ARTICLES : A TEXT MINING APPROACH / SOHEIL VARASTEHPOUR.

By: SOHEIL VARASTEHPOUR (TP027199)Contributor(s): Dhason Padmakumar [Supervisor.]Material type: Text

TextPublication details: Kuala Lumpur : Asia Pacific University, 2013Description: 162 p. : ill. ; 30 cmLOC classification: PM-26-32Dissertation note: A dissertation submitted in partial fulfilment of the requirements of Staffordshire University for the degree of M.SC in Software Engineering.

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Reference	APIIT Library Reference Collection	Masters Theses	PM-26-32 (Browse shelf (Opens below))	1	Not for loan (Restricted access)		00033559

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Previous	PM-26-29 A MODEL OF STUDENT INFORMATION SYSTEM DEVELOPMENT BASED ON OPEN SOURCE ERP FRAMEWORKS /	PM-26-30 THE EFFECT OF KNOWLEDGE MANAGEMENT IMPLEMENTATION ON ORGANISATIONAL PERFORMANCE IN NGOS OF PAKISTAN /	PM-26-31 THE IMPORTANCE OF HAVING INFORMATION TECHNOLOGY DISASTER RECOVERY PLAN AND GUIDELINE IN HOSPITALITY INDUSTRY TO ENSURE CONTINOUS SERVICE DELIVERY /	PM-26-32 STOCK TREND PREDICTION USING NEWS ARTICLES :	PM-26-33 PERFORMANCE ANALYSIS OF MOBILE AD-HOC NETWORK THROUGH TCP VARIANTS OVER DSR /	PM-26-34 DESIGN OF SCHEDULE & TASK REMINDERS FOR APU LECTURERS USING SEMANTIC TECHNOLOGIES /	PM-26-35 DEVELOPING GUIDELINES TO SELECT THE BEST SYSTEM DEVELOPMENT METHDOLOGY FOR MOBILE APPLICATION PROJECTS /	Next

A dissertation submitted in partial fulfilment of the requirements of Staffordshire University for the degree of M.SC in Software Engineering.

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Asia Pacific University Library catalogue

STOCK TREND PREDICTION USING NEWS ARTICLES : A TEXT MINING APPROACH / SOHEIL VARASTEHPOUR.

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