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Data Mining using Fractals and Power laws

Data Mining using Fractals and Power laws

Data Mining using Fractals and Power laws. Christos Faloutsos Carnegie Mellon University. THANK YOU!. Prof. Srinivasan Parthasarathy. Overview. Goals/ motivation: find patterns in large datasets: (A) Sensor data (B) network/graph data Solutions: self-similarity and power laws

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1.34k views • 117 slides
Data Mining using Fractals and Power laws

Data Mining using Fractals and Power laws

Data Mining using Fractals and Power laws. Christos Faloutsos Carnegie Mellon University. THANK YOU!. Prof. N. Bourbakis. Overview. Goals/ motivation: find patterns in large datasets: (A) Sensor data (B) network/graph data Solutions: self-similarity and power laws Discussion.

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1.1k views • 97 slides
Data Mining using Fractals and Power laws

Data Mining using Fractals and Power laws

Data Mining using Fractals and Power laws. Christos Faloutsos Carnegie Mellon University. THANK YOU!. Profs. Wei Wang, Ming Lin Prof. Jun Yang Profs. Rada Chirkova, Khaled Harfoush. Overview. Goals/ motivation: find patterns in large datasets: (A) Sensor data (B) network/graph data

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1.11k views • 97 slides
Data Mining using Fractals and Power laws

Data Mining using Fractals and Power laws

Data Mining using Fractals and Power laws. Christos Faloutsos Carnegie Mellon University. THANK YOU!. Prof. Azer Bestavros Prof. Mark Crovella Prof. George Kollios. Overview. Goals/ motivation: find patterns in large datasets: (A) Sensor data (B) network/graph data

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1.09k views • 95 slides
Advanced Data Mining Tools: Fractals and Power Laws for Graphs, Streams and Traditional Data

Advanced Data Mining Tools: Fractals and Power Laws for Graphs, Streams and Traditional Data

Advanced Data Mining Tools: Fractals and Power Laws for Graphs, Streams and Traditional Data. Christos Faloutsos Carnegie Mellon University. THANK YOU!. Prof. Jiawei Han Prof. Kevin Chang. Overview. Goals/ motivation: find patterns in large datasets: (A) Sensor data

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837 views • 83 slides

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