'Compact data structure' diaporamas de présentation

Compact data structure - PowerPoint PPT Presentation

Pattern Matching

Pattern Matching

Pattern Matching. Strings. A string is a sequence of characters Examples of strings: Java program HTML document DNA sequence Digitized image An alphabet S is the set of possible characters for a family of strings Example of alphabets: ASCII Unicode {0, 1} {A, C, G, T}.

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2.03k views • 68 slides
Anatomy of Google (circa 1999)

Anatomy of Google (circa 1999)

Project part B due a month from now (10/26). Anatomy of Google (circa 1999). Slides from http://www.cs.huji.ac.il/~sdbi/2000/google/index.htm. Fancy hits? Why two types of barrels? How is indexing parallelized? How does Google show that it doesn’t quite care about recall?

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710 views • 57 slides
BUFFALO: Bloom Filter Forwarding Architecture for Large Organizations

BUFFALO: Bloom Filter Forwarding Architecture for Large Organizations

BUFFALO: Bloom Filter Forwarding Architecture for Large Organizations . Minlan Yu Princeton University minlanyu@cs.princeton.edu Joint work with Alex Fabrikant, Jennifer Rexford. Challenges in Edge Networks. Edge networks Enterprise and data center networks Large number of hosts

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447 views • 31 slides
CSE 454 - Case Studies

CSE 454 - Case Studies

CSE 454 - Case Studies. Indexing & Retrieval in Google. Some slides from http://www.cs.huji.ac.il/~sdbi/2000/google/index.htm. Logistics. For next class Read: How to implement PageRank Efficiently Projects due Before class Project part II Alternatives…. BigTable. Customers Pros Cons.

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281 views • 25 slides
Frequent-Pattern Tree

Frequent-Pattern Tree

Frequent-Pattern Tree. Bottleneck of Frequent-pattern Mining. Multiple database scans are costly Mining long patterns needs many passes of scanning and generates lots of candidates To find frequent itemset i 1 i 2 …i 100 # of scans: 100

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418 views • 24 slides
CSCI6405 class project

CSCI6405 class project

CSCI6405 class project. Implementation and comparison of three AR mining algorithms. Xuehai Wang, Xiaobo Chen, Shen chen. Outline. Motivation Dataset Apriori based hash tree algorithm FP-tree algorithm Conclusion Reference. Motivation.

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397 views • 24 slides

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