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Temperature Clustering published presentations and documents on DocSlides.

Directional triadic closure and edge deletion mechanism ind

Directional triadic closure and edge deletion mechanism ind

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Directional Networks. Two of the most consistent ...

Online Person Name Disambiguation with Constraints

Online Person Name Disambiguation with Constraints

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Madian. . Khabsa. 1,3. , . Pucktada. . Treeratp...

Markov Logic Networks

Markov Logic Networks

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Hao. Wu. Mariyam. Khalid. Motivation. Motivatio...

Discriminative

Discriminative

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Decorelation. for clustering and classification....

Learning Semantics with Less Supervision

Learning Semantics with Less Supervision

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  • 57 Slides

Agenda. Beyond Fixed . Keypoints. Beyond . Keypoi...

Clustering in OpenDaylight

Clustering in OpenDaylight

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  • 15 Slides

Colin Dixon. Technical Steering Committee Chair, ...

A simple

A simple

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  • 52 Slides

L. inear Time Algorithm for Computing a . -Spanne...

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1 Introduction --- Part2

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Another Introduction to Data Mining. Course Infor...

dendextend

dendextend

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: an R package . for. easier manipulation . and ....

Algorithms and applications

Algorithms and applications

  • debby-jeon
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Clustering (Chap 7). Introduction. Clustering is ...

Mining Actor Correlations with Hierarchical Concurrence

Mining Actor Correlations with Hierarchical Concurrence

  • faustina-dinatale
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Pasring. Reporters: R98922004 . Yun-Nung. Chen,...

Unsupervised Clickstream Clustering for User Behavior Analy

Unsupervised Clickstream Clustering for User Behavior Analy

  • ellena-manuel
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Gang Wang. , Xinyi Zhang, . Shiliang. Tang,. Hai...

WebSets

WebSets

  • liane-varnes
  • 33 Slides

: Extracting Sets of Entities from the Web Using ...

Linking Records with Erroneous Values

Linking Records with Erroneous Values

  • sherrill-nordquist
  • 28 Slides

Songtao Guo, Xin Luna Dong, . Divesh Srivastava, ...

Extracting Test Cases by Using Data

Extracting Test Cases by Using Data

  • jane-oiler
  • 14 Slides

Mining;. Reducing . the Cost of Testing. Andrea ....

Percolation in self-similar networks

Percolation in self-similar networks

  • marina-yarberry
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Dmitri Krioukov. CAIDA/UCSD. M. . . Á. . Serrano...

Spatial Point Processes

Spatial Point Processes

  • myesha-ticknor
  • 5 Slides

Eric . Feigelson. Penn State University. Arcetri....

2/25/09 - GCSU

2/25/09 - GCSU

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  • 47 Slides

. ADVENTURES IN DATA MINING. Margaret H. Dunham....

Logistic Regression

Logistic Regression

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  • 37 Slides

glm. . {stats. }. . glm. is used to fit ...

Song-level Multi-pitch Tracking by Heavily Constrained Clus

Song-level Multi-pitch Tracking by Heavily Constrained Clus

  • debby-jeon
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Zhiyao. . Duan. , . Jinyu. Han and Bryan . Pard...

Recommendation Based Trust Model with an Effective Defense

Recommendation Based Trust Model with an Effective Defense

  • ellena-manuel
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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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  • 68 Slides

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

An Introduction to Machine Learning

An Introduction to Machine Learning

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  • 49 Slides

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

Hierarchical and

Hierarchical and

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

Network Models

Network Models

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  • 56 Slides

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

Immigrant Segregation in Auckland, New Zealand

Immigrant Segregation in Auckland, New Zealand

  • olivia-moreira
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David C Maré . Motu. Economic and Public Polic...

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

  • celsa-spraggs
  • 71 Slides

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

1 Introduction --- Part2

1 Introduction --- Part2

  • lindy-dunigan
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Another Introduction to Data Mining. Course Infor...

Community Detection And Clustering in Graphs

Community Detection And Clustering in Graphs

  • debby-jeon
  • 43 Slides

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

1 Multicore and Cloud Futures

1 Multicore and Cloud Futures

  • jane-oiler
  • 15 Slides

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

Mining Interesting Locations and Travel Sequences from GP

Mining Interesting Locations and Travel Sequences from GP

  • jane-oiler
  • 21 Slides

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

Data Mining, Machine Learning, Data Analysis, etc.

Data Mining, Machine Learning, Data Analysis, etc.

  • pasty-toler
  • 23 Slides

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

  • lindy-dunigan
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Supun . Kamburugamuve. For the PhD Qualifying Exa...

Graph theory methods for analyzing

Graph theory methods for analyzing

  • ellena-manuel
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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/...

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