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Visit USCOApplying Supervised Machine Learning Models to Classify Day Traders Using the Traders' Daily Trading Activity Data and the U.S. Stock Market Indices Data
Text Registration
Copyright Title
Applying Supervised Machine Learning Models to Classify Day Traders Using the Traders' Daily Trading Activity Data and the U.S. Stock Market Indices Data
Status
Published
on 13 Mar 2019
Year of Creation
2018
Copyright Claimant
Nasser Ateya Sharara
Registration Number
TX0008693863
on 13 Mar 2019Copyright Summary
The U.S. Copyright record (Registration Number: TX0008693863) dated 13 Mar 2019, pertains to an electronic file (eService) titled "Applying Supervised Machine Learning Models to Classify Day Traders Using the Traders' Daily Trading Activity Data and the U.S. Stock Market Indices Data" created in 2018. The copyright holder is Nasser Ateya Sharara, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Nasser Ateya Sharara.
Application Details
Registration Number
TX0008693863
Registration Date
3/13/2019
Year of Creation
2018
Agency Marc Code
DLC-CO
Record Status
New
Physical Description
Electronic file (eService)
First Publication Nation
United States
Notes
Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com
Statements
Application Title Statement: Applying Supervised Machine Learning Models to Classify Day Traders Using the Traders' Daily Trading Activity Data and the U.S. Stock Market Indices Data
Author Statement: Nasser Ateya Sharara Citizenship: not known Authorship: text
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