Invention Grant
- Patent Title: Horizontal decision tree learning from very high rate data streams with horizontal parallel conflict resolution
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Application No.: US14744708Application Date: 2015-06-19
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Publication No.: US10565517B2Publication Date: 2020-02-18
- Inventor: Wei Shan Dong , Peng Gao , Guo Qiang Hu , Chang Sheng Li , Xu Liang Li , Chun Yang Ma , Zhi Wang , Xin Zhang
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Stephen R. Tkacs; Stephen J. Walder, Jr.; Joseph Petrokaitis
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/04

Abstract:
A mechanism is provided in a data processing system for distributed tree learning. A source processing instance distributes data record instances to a plurality of model update processing items. The plurality of model update processing items determine candidate leaf splitting actions in a decision tree in parallel based on the data record instances. The plurality of model update processing items send the candidate leaf splitting actions to a plurality of conflict resolve processing items. The plurality of conflict resolve processing items identifies conflict leaf splitting actions. The plurality of conflict resolve processing items applies tree structure changes to the decision tree in the plurality of model update processing items.
Public/Granted literature
- US20160357807A1 Horizontal Decision Tree Learning from Very High Rate Data Streams Public/Granted day:2016-12-08
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