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Efficient Similarity Search in Sequence Databases Rakesh Agrawal, Christos Faloutsos and Arun Swami PowerPoint PPT Presentation
Efficient Similarity Search in Sequence Databases Rakesh Agrawal, Christos Faloutsos and Arun Swami - ... index methods (R*-tree, R-tree,grid-files,...) to store and search these points. ... Parseval theorem gives that Euclidean distance between two signals x and y in ...
... index methods (R*-tree, R-tree,grid-files,...) to store and search these points. ... Parseval theorem gives that Euclidean distance between two signals x and y in ...
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Mario Gerla, Aiguo Fei, Jun-Hong Cui, Michalis Faloutsos PowerPoint PPT Presentation
Mario Gerla, Aiguo Fei, Jun-Hong Cui, Michalis Faloutsos - But it introduces possible bandwidth wastage. Implementation Considerations ... wastage. Analysis and Simulation. Reducible State Reduction: Rrs=1-(Sa-Si)/(S0-Si) ...
But it introduces possible bandwidth wastage. Implementation Considerations ... wastage. Analysis and Simulation. Reducible State Reduction: Rrs=1-(Sa-Si)/(S0-Si) ...
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Data%20Mining%20using%20Fractals%20and%20Power%20laws PowerPoint PPT Presentation
Data%20Mining%20using%20Fractals%20and%20Power%20laws - cars. UNC, 2005. C. Faloutsos. 7. School of Computer Science. Carnegie Mellon ... (and std - infinity (!)) degree. count. avg: 3.3. UNC, 2005. C. Faloutsos. 39 ...
cars. UNC, 2005. C. Faloutsos. 7. School of Computer Science. Carnegie Mellon ... (and std - infinity (!)) degree. count. avg: 3.3. UNC, 2005. C. Faloutsos. 39 ...
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Big (graph) data analytics PowerPoint PPT Presentation
Big (graph) data analytics - Christos Faloutsos CMU IC '13 C. Faloutsos * E-bay Fraud detection w/ Polo Chau & Shashank Pandit, CMU [www 07] IC '13 C. Faloutsos * E-bay Fraud detection IC '13 C ...
Christos Faloutsos CMU IC '13 C. Faloutsos * E-bay Fraud detection w/ Polo Chau & Shashank Pandit, CMU [www 07] IC '13 C. Faloutsos * E-bay Fraud detection IC '13 C ...
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Mining static and time-evolving graphs PowerPoint PPT Presentation
Mining static and time-evolving graphs - LLNL, Feb. '07. C. Faloutsos. 1. School of Computer Science. Carnegie Mellon ... LLNL, Feb. '07. C. Faloutsos. 5. School of Computer Science. Carnegie Mellon ...
LLNL, Feb. '07. C. Faloutsos. 1. School of Computer Science. Carnegie Mellon ... LLNL, Feb. '07. C. Faloutsos. 5. School of Computer Science. Carnegie Mellon ...
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Data Mining using Fractals and Power laws PowerPoint PPT Presentation
Data Mining using Fractals and Power laws - Boston U., 2005. C. Faloutsos. 1. School of Computer Science. Carnegie Mellon ... Boston U., 2005. C. Faloutsos. 2. School of Computer Science. Carnegie Mellon ...
Boston U., 2005. C. Faloutsos. 1. School of Computer Science. Carnegie Mellon ... Boston U., 2005. C. Faloutsos. 2. School of Computer Science. Carnegie Mellon ...
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Large Graph Mining: Power Tools and a Practitioner PowerPoint PPT Presentation
Large Graph Mining: Power Tools and a Practitioner - Large Graph Mining: Power Tools and a Practitioner s Guide Christos Faloutsos Gary Miller Charalampos (Babis) Tsourakakis CMU
Large Graph Mining: Power Tools and a Practitioner s Guide Christos Faloutsos Gary Miller Charalampos (Babis) Tsourakakis CMU
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Large Graph Mining: Power Tools and a Practitioner PowerPoint PPT Presentation
Large Graph Mining: Power Tools and a Practitioner - Large Graph Mining: Power Tools and a Practitioner s Guide Christos Faloutsos Gary Miller Charalampos (Babis) Tsourakakis CMU
Large Graph Mining: Power Tools and a Practitioner s Guide Christos Faloutsos Gary Miller Charalampos (Babis) Tsourakakis CMU
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Cost-effective%20Outbreak%20Detection%20in%20Networks PowerPoint PPT Presentation
Cost-effective%20Outbreak%20Detection%20in%20Networks - Cost-effective Outbreak Detection in Networks Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie Glance
Cost-effective Outbreak Detection in Networks Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie Glance
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Carnegie Mellon Univ. Dept. of Computer Science 15-415/615 - DB Applications PowerPoint PPT Presentation
Carnegie Mellon Univ. Dept. of Computer Science 15-415/615 - DB Applications - Carnegie Mellon Univ. Dept. of Computer Science 15-415/615 - DB Applications C. Faloutsos A. Pavlo Lecture#15: Query Optimization
Carnegie Mellon Univ. Dept. of Computer Science 15-415/615 - DB Applications C. Faloutsos A. Pavlo Lecture#15: Query Optimization
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Cost-effective Outbreak Detection in Networks PowerPoint PPT Presentation
Cost-effective Outbreak Detection in Networks - Cost-effective Outbreak Detection in Networks Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie Glance
Cost-effective Outbreak Detection in Networks Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie Glance
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Carnegie Mellon Univ. Dept. of Computer Science 15-415/615 - DB Applications PowerPoint PPT Presentation
Carnegie Mellon Univ. Dept. of Computer Science 15-415/615 - DB Applications - Carnegie Mellon Univ. Dept. of Computer Science 15-415/615 - DB Applications C. Faloutsos A. Pavlo How to Scale a Database System
Carnegie Mellon Univ. Dept. of Computer Science 15-415/615 - DB Applications C. Faloutsos A. Pavlo How to Scale a Database System
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Data Mining Meets Systems: Tools and Case Studies PowerPoint PPT Presentation
Data Mining Meets Systems: Tools and Case Studies - predict queue length distributions (e.g., to give probabilistic guarantees) ... Michalis Faloutsos (UC Riverside) Nicholas Valler (UC Riverside) Dave Andersen (CMU) ...
predict queue length distributions (e.g., to give probabilistic guarantees) ... Michalis Faloutsos (UC Riverside) Nicholas Valler (UC Riverside) Dave Andersen (CMU) ...
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Fast Subsequence Matching in Time-Series Databases PowerPoint PPT Presentation
Fast Subsequence Matching in Time-Series Databases - Fast Subsequence Matching in Time-Series Databases Christos Faloutsos M. Ranganathan Yannis Manolopoulos Department of Computer Science and ISR University of Maryland ...
Fast Subsequence Matching in Time-Series Databases Christos Faloutsos M. Ranganathan Yannis Manolopoulos Department of Computer Science and ISR University of Maryland ...
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A Nonstationary Poisson View of Internet Traffic PowerPoint PPT Presentation
A Nonstationary Poisson View of Internet Traffic - A Nonstationary Poisson View of Internet Traffic T. Karagiannis, M. Molle, M. Faloutsos University of California, Riverside A. Broido University of California, San Diego
A Nonstationary Poisson View of Internet Traffic T. Karagiannis, M. Molle, M. Faloutsos University of California, Riverside A. Broido University of California, San Diego
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Fast Random Walk with Restart and Its Applications PowerPoint PPT Presentation
Fast Random Walk with Restart and Its Applications - Fast Random Walk with Restart and Its Applications Hanghang Tong, Christos Faloutsos and Jia-Yu (Tim) Pan ICDM 2006 ...
Fast Random Walk with Restart and Its Applications Hanghang Tong, Christos Faloutsos and Jia-Yu (Tim) Pan ICDM 2006 ...
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Internet and Stuff:The Basics PowerPoint PPT Presentation
Internet and Stuff:The Basics - Title: Part I: Introduction Author: Don Towsley Last modified by: M Faloutsos Created Date: 10/8/1999 7:08:27 PM Document presentation format: On-screen Show
Title: Part I: Introduction Author: Don Towsley Last modified by: M Faloutsos Created Date: 10/8/1999 7:08:27 PM Document presentation format: On-screen Show
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Graph X-Ray: Fast Best-Effort Pattern Matching in Large Attributed Graphs PowerPoint PPT Presentation
Graph X-Ray: Fast Best-Effort Pattern Matching in Large Attributed Graphs - in Large Attributed Graphs. Hanghang Tong, Brian Gallagher, Christos Faloutsos, Tina Eliassi-Rad ... in large attributed graphs. Scale linearly. with small ...
in Large Attributed Graphs. Hanghang Tong, Brian Gallagher, Christos Faloutsos, Tina Eliassi-Rad ... in large attributed graphs. Scale linearly. with small ...
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Introduction to Wireless Networks PowerPoint PPT Presentation
Introduction to Wireless Networks - Introduction to Wireless Networks Michalis Faloutsos What is an ad hoc network A collection of nodes that can communicate with each other without the use of existing ...
Introduction to Wireless Networks Michalis Faloutsos What is an ad hoc network A collection of nodes that can communicate with each other without the use of existing ...
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Mining Time Series Data PowerPoint PPT Presentation
Mining Time Series Data - Note that virtually all similarity measurements, indexing and ... Faloutsos, K Sycara, T. Payne: FALCON: Feedback Adaptive Loop for Content-Based Retrieval. ...
Note that virtually all similarity measurements, indexing and ... Faloutsos, K Sycara, T. Payne: FALCON: Feedback Adaptive Loop for Content-Based Retrieval. ...
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Graphs over Time Densification Laws, Shrinking Diameters and Possible Explanations PowerPoint PPT Presentation
Graphs over Time Densification Laws, Shrinking Diameters and Possible Explanations - Graphs over Time Densification Laws, Shrinking Diameters and Possible Explanations Jurij Leskovec, CMU Jon Kleinberg, Cornell Christos Faloutsos, CMU
Graphs over Time Densification Laws, Shrinking Diameters and Possible Explanations Jurij Leskovec, CMU Jon Kleinberg, Cornell Christos Faloutsos, CMU
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Weighted Graphs and Disconnected Components Patterns and a Generator PowerPoint PPT Presentation
Weighted Graphs and Disconnected Components Patterns and a Generator - Weighted Graphs and Disconnected Components Patterns and a Generator Mary McGlohon, Leman Akoglu, Christos Faloutsos Carnegie Mellon University School of Computer Science
Weighted Graphs and Disconnected Components Patterns and a Generator Mary McGlohon, Leman Akoglu, Christos Faloutsos Carnegie Mellon University School of Computer Science
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Using Graphs in Unstructured and Semistructured Data Mining PowerPoint PPT Presentation
Using Graphs in Unstructured and Semistructured Data Mining - Using Graphs in Unstructured and Semistructured Data Mining Soumen Chakrabarti IIT Bombay www.cse.iitb.ac.in/~soumen Acknowledgments C. Faloutsos, CMU W. Cohen, CMU ...
Using Graphs in Unstructured and Semistructured Data Mining Soumen Chakrabarti IIT Bombay www.cse.iitb.ac.in/~soumen Acknowledgments C. Faloutsos, CMU W. Cohen, CMU ...
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Spatial and Temporal Data Mining PowerPoint PPT Presentation
Spatial and Temporal Data Mining - Spatial and Temporal Data Mining V. Megalooikonomou Preliminaries (some s are based on notes from Searching multimedia databases by content by C. Faloutsos ...
Spatial and Temporal Data Mining V. Megalooikonomou Preliminaries (some s are based on notes from Searching multimedia databases by content by C. Faloutsos ...
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RTG: A Recursive Realistic Graph Generator using Random Typing PowerPoint PPT Presentation
RTG: A Recursive Realistic Graph Generator using Random Typing - RTG: A Recursive Realistic Graph Generator using Random Typing Leman Akoglu and Christos Faloutsos Carnegie Mellon University Spread degrees so that nodes with the ...
RTG: A Recursive Realistic Graph Generator using Random Typing Leman Akoglu and Christos Faloutsos Carnegie Mellon University Spread degrees so that nodes with the ...
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Data Mining using Fractals and Power laws PowerPoint PPT Presentation
Data Mining using Fractals and Power laws - self-managing storage. infrastructure. a storage brick (0.5 5 TB) ~1 PB ' ... Self-* Storage (Ganger ) C. Faloutsos. 11. School of Computer Science. Carnegie Mellon ...
self-managing storage. infrastructure. a storage brick (0.5 5 TB) ~1 PB ' ... Self-* Storage (Ganger ) C. Faloutsos. 11. School of Computer Science. Carnegie Mellon ...
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CS240A: Databases and Knowledge Bases Recursion and Stratification PowerPoint PPT Presentation
CS240A: Databases and Knowledge Bases Recursion and Stratification - Recursion and Stratification Notes From Chapter 8 of Advanced Database Systems by Zaniolo, Ceri, Faloutsos, Snodgrass, Subrahmanian and Zicari.
Recursion and Stratification Notes From Chapter 8 of Advanced Database Systems by Zaniolo, Ceri, Faloutsos, Snodgrass, Subrahmanian and Zicari.
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Graph Mining: Laws, Generators and Tools PowerPoint PPT Presentation
Graph Mining: Laws, Generators and Tools - Title: Graph mining Author: Christos Faloutsos Last modified by: christos Created Date: 9/14/1999 4:17:22 AM Document presentation format: On-screen Show
Title: Graph mining Author: Christos Faloutsos Last modified by: christos Created Date: 9/14/1999 4:17:22 AM Document presentation format: On-screen Show
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Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications PowerPoint PPT Presentation
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications - Dept. of Computer Science 15-415 - Database Applications C. Faloutsos Data Warehousing / Data Mining General Overview Relational model SQL; db design Indexing; Q ...
Dept. of Computer Science 15-415 - Database Applications C. Faloutsos Data Warehousing / Data Mining General Overview Relational model SQL; db design Indexing; Q ...
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Data Mining in Streams and Graphs PowerPoint PPT Presentation
Data Mining in Streams and Graphs - Christos Faloutsos CMU Outline Problem definition / Motivation Graphs and power laws Streams and forecasting Conclusions Motivation Data mining: ~ find patterns ...
Christos Faloutsos CMU Outline Problem definition / Motivation Graphs and power laws Streams and forecasting Conclusions Motivation Data mining: ~ find patterns ...
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Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications PowerPoint PPT Presentation
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications - Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications C. Faloutsos OO and OR DBMSs General Overview - rel. model Relational model - SQL ...
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications C. Faloutsos OO and OR DBMSs General Overview - rel. model Relational model - SQL ...
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Large Human Communication Networks Patterns and a UtilityDriven Generator PowerPoint PPT Presentation
Large Human Communication Networks Patterns and a UtilityDriven Generator - Du, Faloutsos, Wang, Akoglu. Large Human Communication Networks. Patterns and a Utility-Driven Generator. Nan Du1,2, Christos Faloutsos2, Bai Wang1, Leman Akoglu2 ...
Du, Faloutsos, Wang, Akoglu. Large Human Communication Networks. Patterns and a Utility-Driven Generator. Nan Du1,2, Christos Faloutsos2, Bai Wang1, Leman Akoglu2 ...
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Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications PowerPoint PPT Presentation
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications - Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications C. Faloutsos Distributed DB General Overview - rel. model Relational model - SQL ...
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications C. Faloutsos Distributed DB General Overview - rel. model Relational model - SQL ...
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Carnegie Mellon Univ' Dept' of Computer Science 15415 Database Applications PowerPoint PPT Presentation
Carnegie Mellon Univ' Dept' of Computer Science 15415 Database Applications - ... serial execution from (acyclic) precedence graph? 15-415 - C. Faloutsos ... correct schedule - serializable. precedence graph. acyclic - serializable ...
... serial execution from (acyclic) precedence graph? 15-415 - C. Faloutsos ... correct schedule - serializable. precedence graph. acyclic - serializable ...
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Apriori Algorithm PowerPoint PPT Presentation
Apriori Algorithm - Apriori Algorithm Rakesh Agrawal Ramakrishnan Srikant (description by C. Faloutsos) Association rules - idea [Agrawal+SIGMOD93] Consider market basket case ...
Apriori Algorithm Rakesh Agrawal Ramakrishnan Srikant (description by C. Faloutsos) Association rules - idea [Agrawal+SIGMOD93] Consider market basket case ...
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CS 240: Network Routing PowerPoint PPT Presentation
CS 240: Network Routing - CS 240: Network Routing Michalis Faloutsos Class Overview Expose you the general principles and highlight some interesting topics in routing Background in networks is ...
CS 240: Network Routing Michalis Faloutsos Class Overview Expose you the general principles and highlight some interesting topics in routing Background in networks is ...
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Virus Propagation Modeling PowerPoint PPT Presentation
Virus Propagation Modeling - Virus Propagation Modeling. Chenxi Wang, Christos Faloutsos ... for Computer and Communications Security. Internet Viruses and Worms. Computer viruses/worms ...
Virus Propagation Modeling. Chenxi Wang, Christos Faloutsos ... for Computer and Communications Security. Internet Viruses and Worms. Computer viruses/worms ...
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Cost-effective Outbreak Detection in Networks PowerPoint PPT Presentation
Cost-effective Outbreak Detection in Networks - Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne ... On which nodes should we place sensors to efficiently detect the all possible ...
Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne ... On which nodes should we place sensors to efficiently detect the all possible ...
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Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications PowerPoint PPT Presentation
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications - Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications C. Faloutsos Rel. model - SQL part2 General Overview - rel. model Formal query ...
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications C. Faloutsos Rel. model - SQL part2 General Overview - rel. model Formal query ...
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Indexing Time Series PowerPoint PPT Presentation
Indexing Time Series - ... Christos Faloutsos with some s from tutorials by Prof. Eamonn Keogh and Dr. ... Series can be found there: http://www.cs.ucr.edu/~eamonn/tutorials.html ...
... Christos Faloutsos with some s from tutorials by Prof. Eamonn Keogh and Dr. ... Series can be found there: http://www.cs.ucr.edu/~eamonn/tutorials.html ...
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Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications PowerPoint PPT Presentation
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications - Carnegie Mellon. Carnegie Mellon Univ. Dept. of Computer Science. 15 ... In practice, some implementors just allow underflows to happen... 15-415 - C. Faloutsos ...
Carnegie Mellon. Carnegie Mellon Univ. Dept. of Computer Science. 15 ... In practice, some implementors just allow underflows to happen... 15-415 - C. Faloutsos ...
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Carnegie Mellon Univ' Dept' of Computer Science 15415 Database Applications PowerPoint PPT Presentation
Carnegie Mellon Univ' Dept' of Computer Science 15415 Database Applications - Inconsistent analysis' Precedence graph? time. 15-415 - C. Faloutsos ... inconsistent analysis' why not 2PL? how would it be under 2PL? 15-415 - C. Faloutsos ...
Inconsistent analysis' Precedence graph? time. 15-415 - C. Faloutsos ... inconsistent analysis' why not 2PL? how would it be under 2PL? 15-415 - C. Faloutsos ...
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Modeling Real Graphs using Kronecker Multiplication PowerPoint PPT Presentation
Modeling Real Graphs using Kronecker Multiplication - Modeling Real Graphs using Kronecker Multiplication. Jure Leskovec, Christos Faloutsos ... Scree plot. log rank. log eigenvalue. log rank. Scalability ...
Modeling Real Graphs using Kronecker Multiplication. Jure Leskovec, Christos Faloutsos ... Scree plot. log rank. log eigenvalue. log rank. Scalability ...
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Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications PowerPoint PPT Presentation
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications - Spatial Access Methods (SAMs) Multimedia Indexing. 15-415 - C. Faloutsos. 3. Carnegie Mellon ... SAMs: solutions. z-ordering. R-trees (grid files) ...
Spatial Access Methods (SAMs) Multimedia Indexing. 15-415 - C. Faloutsos. 3. Carnegie Mellon ... SAMs: solutions. z-ordering. R-trees (grid files) ...
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Multimedia DBs PowerPoint PPT Presentation
Multimedia DBs - Agrawal, Faloutsos, Swami 1993. Chan & Fu 1999. eigenwave 0. eigenwave 1. eigenwave 2 ... what is an image? A: 2-d array. Images - color. Color histograms, and ...
Agrawal, Faloutsos, Swami 1993. Chan & Fu 1999. eigenwave 0. eigenwave 1. eigenwave 2 ... what is an image? A: 2-d array. Images - color. Color histograms, and ...
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Weighted Graphs and Disconnected Components Patterns and a Generator PowerPoint PPT Presentation
Weighted Graphs and Disconnected Components Patterns and a Generator - Weighted Graphs and Disconnected Components. Patterns and a Generator. Mary McGlohon, Leman Akoglu, Christos Faloutsos. Carnegie Mellon University ...
Weighted Graphs and Disconnected Components. Patterns and a Generator. Mary McGlohon, Leman Akoglu, Christos Faloutsos. Carnegie Mellon University ...
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QoSMIC: a Quality Of service Sensitive Multicast Internet protoCol PowerPoint PPT Presentation
QoSMIC: a Quality Of service Sensitive Multicast Internet protoCol - Michalis Faloutsos. Anindo Banerjea. Rajesh Pankaj. cs497HOU. Yifei Hong. 2. Motivation ... Theorem 1 The routing table information on all the routers for a ...
Michalis Faloutsos. Anindo Banerjea. Rajesh Pankaj. cs497HOU. Yifei Hong. 2. Motivation ... Theorem 1 The routing table information on all the routers for a ...
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Social Networks and Graph Mining PowerPoint PPT Presentation
Social Networks and Graph Mining - Social Networks and Graph Mining. Christos Faloutsos. CMU - MLD ... Problem#2: How do viruses propagate? Problem#3: How to spot fraudsters in e-bay? MLD-AB '07 ...
Social Networks and Graph Mining. Christos Faloutsos. CMU - MLD ... Problem#2: How do viruses propagate? Problem#3: How to spot fraudsters in e-bay? MLD-AB '07 ...
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Data Mining on Streams PowerPoint PPT Presentation
Data Mining on Streams - Time Tick. Number of packets sent. LLNL'06 (c) C. Faloutsos, 2006. 13. CMU SCS ... E.g.., Find a 3-tick pattern, similar to the last one. 0. 10. 20. 30. 40. 50 ...
Time Tick. Number of packets sent. LLNL'06 (c) C. Faloutsos, 2006. 13. CMU SCS ... E.g.., Find a 3-tick pattern, similar to the last one. 0. 10. 20. 30. 40. 50 ...
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Time Series Databases PowerPoint PPT Presentation
Time Series Databases - A time series is a sequence of real numbers, representing the ... Learn a user profile on what is ... GEMINI ([Faloutsos et al]): Map the query S to ...
A time series is a sequence of real numbers, representing the ... Learn a user profile on what is ... GEMINI ([Faloutsos et al]): Map the query S to ...
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Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications PowerPoint PPT Presentation
Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications - two equivalent flavors: tuple' and domain' calculus. basis for SQL ... every human is mortal : no human is immortal' 15-415 - C. Faloutsos. 11. Carnegie Mellon ...
two equivalent flavors: tuple' and domain' calculus. basis for SQL ... every human is mortal : no human is immortal' 15-415 - C. Faloutsos. 11. Carnegie Mellon ...
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Sensor data mining and forecasting PowerPoint PPT Presentation
Sensor data mining and forecasting - Time Tick. Number of packets sent. Telcordia 2003. C. Faloutsos. 27. CMU SCS ... in a train of spikes (128 ticks apart) any AR with window w 128 will fail ...
Time Tick. Number of packets sent. Telcordia 2003. C. Faloutsos. 27. CMU SCS ... in a train of spikes (128 ticks apart) any AR with window w 128 will fail ...
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CS 240A: Databases and Knowledge Bases Introduction to Active Databases PowerPoint PPT Presentation
CS 240A: Databases and Knowledge Bases Introduction to Active Databases - Notes From Chapter 2 of Advanced Database Systems by Zaniolo, Ceri, Faloutsos, ... experience: large rules sets supporting a complex application---unmanageable. ...
Notes From Chapter 2 of Advanced Database Systems by Zaniolo, Ceri, Faloutsos, ... experience: large rules sets supporting a complex application---unmanageable. ...
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Multimedia and Graph mining PowerPoint PPT Presentation
Multimedia and Graph mining - similarly, in many other languages; for customers and sales volume; city populations etc etc ... E(t 1) =? 2 * E(t) IC '06. C. Faloutsos. 46. CMU SCS. Temporal ...
similarly, in many other languages; for customers and sales volume; city populations etc etc ... E(t 1) =? 2 * E(t) IC '06. C. Faloutsos. 46. CMU SCS. Temporal ...
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Finding Similar Time Series PowerPoint PPT Presentation
Finding Similar Time Series - A time series is a sequence of real numbers, representing the ... Learn a user profile on what is ... GEMINI ([Faloutsos et al]): Map the query S to ...
A time series is a sequence of real numbers, representing the ... Learn a user profile on what is ... GEMINI ([Faloutsos et al]): Map the query S to ...
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