Presentation is loading. Please wait.

Presentation is loading. Please wait.

Sample Projects.

Published byAllyson Caldwell Modified over 5 years ago

Similar presentations

Presentation on theme: "Sample Projects."— Presentation transcript:

1 Sample Projects

2 Hadoop-based Real World Applications
Do you have any large scale data processing problem in your work or research? Can you formalize your data analysis problem? Can you use Hadoop to scale the computation? Make sure you can finish it in about one month.

3 Algorithm Design and Programming Project
Implement a Hadoop-based Frequent itemset mining Apriori Eclat FP-tree MapReduce PLSA (EM-algorithm) Hadoop based Subgraph Matching

4 Analysis of Hadoop and hadoop-based system
Hadoop, Giraph, Mahout… Open Source Projects Lack of good design documentation Many inefficiency bottleneck Read and analyze one of open source projects

Download ppt "Sample Projects."

Similar presentations

CS525: Special Topics in DBs Large-Scale Data Management

CS525: Special Topics in DBs Large-Scale Data Management
Mining Association Rules from Microarray Gene Expression Data.

Mining Association Rules from Microarray Gene Expression Data.
Frequent Itemset Mining Methods. The Apriori algorithm Finding frequent itemsets using candidate generation Seminal algorithm proposed by R. Agrawal and.

Frequent Itemset Mining Methods. The Apriori algorithm Finding frequent itemsets using candidate generation Seminal algorithm proposed by R. Agrawal and.
Mining Frequent Patterns Using FP-Growth Method Ivan Tanasić Department of Computer Engineering and Computer Science, School of Electrical.

Mining Frequent Patterns Using FP-Growth Method Ivan Tanasić Department of Computer Engineering and Computer Science, School of Electrical.
Association Analysis (Data Engineering). Type of attributes in assoc. analysis Association rule mining assumes the input data consists of binary attributes.

Association Analysis (Data Engineering). Type of attributes in assoc. analysis Association rule mining assumes the input data consists of binary attributes.
Mining Biological Data

Mining Biological Data
Query Optimization of Frequent Itemset Mining on Multiple Databases Mining on Multiple Databases David Fuhry Department of Computer Science Kent State.

Query Optimization of Frequent Itemset Mining on Multiple Databases Mining on Multiple Databases David Fuhry Department of Computer Science Kent State.
Bryan Lahartinger. “The Apriori algorithm is a fundamental correlation-based data mining [technique]” “Software implementations of the Aprioiri algorithm.

Bryan Lahartinger. “The Apriori algorithm is a fundamental correlation-based data mining [technique]” “Software implementations of the Aprioiri algorithm.
By Dan Stalloch. Association – what could be linked together in away with something Patterns – sequential and time series, shows us how often certain.

By Dan Stalloch. Association – what could be linked together in away with something Patterns – sequential and time series, shows us how often certain.
Data Mining Association Analysis: Basic Concepts and Algorithms

Data Mining Association Analysis: Basic Concepts and Algorithms
Frequent Itemsets Mining in Distributed Wireless Sensor Networks Manjunath Rajashekhar.

Frequent Itemsets Mining in Distributed Wireless Sensor Networks Manjunath Rajashekhar.
Weekly Report Start learning GPU Ph.D. Student: Leo Lee date: Sep. 18, 2009.

Weekly Report Start learning GPU Ph.D. Student: Leo Lee date: Sep. 18, 2009.
Summarization of Frequent Pattern Mining. What is FPM? Why being frequent is so important? Application of FPM Decision make/Business Software Debugging.

Summarization of Frequent Pattern Mining. What is FPM? Why being frequent is so important? Application of FPM Decision make/Business Software Debugging.
© Vipin Kumar CSci 8980 Fall 2002 1 CSci 8980: Data Mining (Fall 2002) Vipin Kumar Army High Performance Computing Research Center Department of Computer.

© Vipin Kumar CSci 8980 Fall CSci 8980: Data Mining (Fall 2002) Vipin Kumar Army High Performance Computing Research Center Department of Computer.
© Vipin Kumar CSci 8980 Fall 2002 1 CSci 8980: Data Mining (Fall 2002) Vipin Kumar Army High Performance Computing Research Center Department of Computer.

© Vipin Kumar CSci 8980 Fall CSci 8980: Data Mining (Fall 2002) Vipin Kumar Army High Performance Computing Research Center Department of Computer.
Performance and Scalability: Apriori Implementation.

Performance and Scalability: Apriori Implementation.
Association Analysis (5) (Mining Word Associations)

Association Analysis (5) (Mining Word Associations)
Chapter 5 Mining Association Rules with FP Tree Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2010.

Chapter 5 Mining Association Rules with FP Tree Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2010.
Mining Association Rules between Sets of Items in Large Databases presented by Zhuang Wang.

Mining Association Rules between Sets of Items in Large Databases presented by Zhuang Wang.
Analytics Map Reduce Query Insight Hive Pig Hadoop SQL Map Reduce Business Intelligence Predictive Operational Interactive Visualization Exploratory.

Analytics Map Reduce Query Insight Hive Pig Hadoop SQL Map Reduce Business Intelligence Predictive Operational Interactive Visualization Exploratory.

Similar presentations

Ads by Google