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Recommendation Based Trust Model with an Effective Defense

Recommendation Based Trust Model with an Effective Defense

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ManetS. Adeela Huma. 02/02/2017. Introduction - M...

Peer-to-Peer and Social Networks

Peer-to-Peer and Social Networks

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Power law . graphs. Small world graphs. Preferent...

The Build-up of Quasars

The Build-up of Quasars

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Gordon Richards. Drexel University. With thanks t...

An Introduction to Machine Learning

An Introduction to Machine Learning

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Presented to LING-7800 . Shumin . Wu. Prepared by...

Hierarchical and

Hierarchical and

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K-. means . Clustering. Build a tree. “closestâ...

Network Models

Network Models

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TJTSD66: Advanced Topics in Social Media. (Social...

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Immigrant Segregation in Auckland, New Zealand

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Text Visualization

Text Visualization

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Marti Hearst. Guest Lecture, i247, Spring 2012. G...

TRACLASS : TRAJECTORY CLASSIFICATION

TRACLASS : TRAJECTORY CLASSIFICATION

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. USING HIERARHICAL REGION-BASED . . AND ...

Graph-Cut / Normalized Cut

Graph-Cut / Normalized Cut

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 . Presented To: Prof. . Hagit. Hel-Or. Present...

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1 Introduction --- Part2

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Another Introduction to Data Mining. Course Infor...

Community Detection And Clustering in Graphs

Community Detection And Clustering in Graphs

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Vaibhav. . Mallya. EECS 767. D. . Radev. 1. Agen...

1 Multicore and Cloud Futures

1 Multicore and Cloud Futures

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CCGSC. September 15 . 2008. Geoffrey Fox. Communi...

Mining Interesting Locations and Travel Sequences from GP

Mining Interesting Locations and Travel Sequences from GP

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Yu . Zheng. , . Lizhu. Zhang, Xing . Xie. , Wei...

Data Mining, Machine Learning, Data Analysis, etc.

Data Mining, Machine Learning, Data Analysis, etc.

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scikit. -learn. http://scikit-learn.org/stable/. ...

Automatic Construction of

Automatic Construction of

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Topic . Maps for Navigation in Information Space ...

Big Data, Stream Processing & Algorithms

Big Data, Stream Processing & Algorithms

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Supun . Kamburugamuve. For the PhD Qualifying Exa...

Graph theory methods for analyzing

Graph theory methods for analyzing

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. social . and neural network data. Darren A. Na...

Improved Flop Tray-Based Design Implementation for Power Re

Improved Flop Tray-Based Design Implementation for Power Re

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Andrew B. . Kahng. , . Jiajia Li. and . Lutong. ...

Data Mining Essentials

Data Mining Essentials

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S. OCIAL. M. EDIA. M. INING. Dear instructors/...

HIERARCHICAL AND PYRAMIDAL CLUSTERING FOR SYMBOLIC DATA

HIERARCHICAL AND PYRAMIDAL CLUSTERING FOR SYMBOLIC DATA

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1  Paula BritoUniv. Porto, Portugal   The...

LinkSCAN

LinkSCAN

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*: Overlapping Community Detection Using the Link...

The Netflix Prize

The Netflix Prize

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Sam Tucker, Erik . Ruggles. , Kei Kubo, Peter Nel...

DATA MINING

DATA MINING

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LECTURE 7. Minimum Description Length . Principle...

Latent Tree Models

Latent Tree Models

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Nevin. L. Zhang. Dept. of Computer Science &...

Deterministic

Deterministic

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Annealing . Dimension Reduction. and Biology. Ind...

Introduction to

Introduction to

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Hadronic. Final State Reconstruction in Collider...

Unsupervised Clickstream Clustering for User Behavior Analysis

Unsupervised Clickstream Clustering for User Behavior Analysis

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Gang Wang. , Xinyi Zhang, . Shiliang. Tang,. Hai...

Prof. Naimish R. Vadodariya

Prof. Naimish R. Vadodariya

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naimish.vadodariya@darshan.ac.in. 91-8866215253....

Scene Blocking Utilizing Forces

Scene Blocking Utilizing Forces

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Christine Talbot. Character Positioning. Discover...

Peer-to-Peer and Social Networks

Peer-to-Peer and Social Networks

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Random Graphs. Random graphs. Erdös-Renyi. mode...

Judy Qiu xqiu@indiana.edu

Judy Qiu xqiu@indiana.edu

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http. ://. SALSA. hpc.indiana.edu. . School of ...

Stressing Out: Bitcoin “Stress Testing”

Stressing Out: Bitcoin “Stress Testing”

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K. haled. . Baqer. , Danny . Yuxing. Huang, Dam...

Distributional Semantic Models

Distributional Semantic Models

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in Lexical Typology:. Constructing a typological ...

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Recommending Similar Items

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at Large Scale. Jay . Katukuri. Merchandising Tea...

Online Social Networks and Media

Online Social Networks and Media

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Graph Partitioning (cuts, spectral clustering, de...

Why do we want a good ratio anyway?

Why do we want a good ratio anyway?

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. Approximation stability and proxy objectives. ...

Computational and Communication Complexity in Massively Parallel

Computational and Communication Complexity in Massively Parallel

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Computation. Grigory. . Yaroslavtsev. (Indiana U...

Generalized Principal Component Analysis

Generalized Principal Component Analysis

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René Vidal. Center for Imaging Science. Institut...

Finding Hidden Intelligence with Predictive Analysis of Data Mining

Finding Hidden Intelligence with Predictive Analysis of Data Mining

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Rafal Lukawiecki. Strategic Consultant, Project B...

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