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Progress Report on QE2 Project: Key Accomplishments and Future Plans

This report outlines the key accomplishments for the QE2 project during the reporting period, which included reading significant research papers related to distributed decision trees and peer-to-peer systems. Notable works include Bhaduri et al. (2008) and Wolff & Schuster (2004). Plans for the next reporting period involve studying further papers on distributed classification, implementing experiments with Neuroph algorithms, and preparing related documentation and presentations. Future goals include exploring the P2P misclassification minimization algorithm and understanding its heuristic processes.

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Progress Report on QE2 Project: Key Accomplishments and Future Plans

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  1. Weekly Project Dashboard: Project Name: QE2 Name: Qinyun Zhu Date: 8/16/2012 R Key Accomplishments for this Reporting Period Read Papers Bhaduri et al, 2008, Distributed Decision-Tree Induction in Peer-to-Peer Systems. Statistical Analysis and Data Mining, 1, 85-103 Ran Wolff and Assaf Schuster, Associate Rule Mining in Peer-to-Peer System, IEEE Transactions on Systems, Man and Cybernetics- Part B, Vol 34, No. 6, Dec 2004 Book Chapters MapReduce and Its Application to Massively Parallel Learning of Decision Tree Ensembles, Chapter 2 of Scaling Up Machine Learning Plans for Next Reporting Period Read paper "Distributed Classification in Peer-to-peer networks" Continue reading the book "Scaling Up Machine Learning" Read and understand algorithms in Neuroph and do experiment on it Check Points & Milestones Status Start Fcst.End Seek Topic of QE2 Yellow 6/9/2012 Implementation & Experiment Red 8/1/2012 Document & Presentation Prepare Red 8/1/2012 QE2 Red Fall 2012 Plans Beyond Next Reporting Period SU: • Find a topic of QE2 • A lot of Reading Research Issues Understanding of the "P2P Misclassification Minimization algorithm" - How does the algorithm find the pivot among the split attributes? How does the heuristic work?

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