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RDF: A Density-based Outlier Detection Method Using Vertical Data Representation

RDF: A Density-based Outlier Detection Method Using Vertical Data Representation. Dongmei Ren, Baoying Wang, William Perrizo North Dakota State University, U.S.A. Introduction. Related Work

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Item-Based P-Tree Collaborative Filtering applied to the Netflix Data

Item-Based P-Tree Collaborative Filtering applied to the Netflix Data. Tingda Lu, Yan Wang, William Perrizo, Gregory Wettstein, Amal S. Perera. Computer Science North Dakota State University Fargo, ND 58108 USA. Agenda.

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243 views • 24 slides

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pTrees p redicate Tree technologie s provide fast, accurate horizontal processing of compressed, data-mining-ready, vertical data structures. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 0. 0. course. 2. 3. 4. 5. PINE Podium Incremental Neighborhood Evaluator

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CSCI 765 Big Data and Infinite Storage

CSCI 765 Big Data and Infinite Storage. One new idea introduced in this course is the emerging idea of structuring data into vertical structures and processing across those vertical structures.

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196 views • 19 slides

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184 views • 18 slides

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RDF: A Density-based Outlier Detection Method Using Vertical Data Representation

Item-Based P-Tree Collaborative Filtering applied to the Netflix Data

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CSCI 765 Big Data and Infinite Storage

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