-- AmosStorkey - 06 Feb 2009

Please could you enter your selections on this page of the wiki. If you have not formed a group then please indicate three papers and datasets you would be willing to work on to allow pairing.

Mini Project Group Selection

Paper Presentation Allocated

1st choice: Web document clustering: A feasibility demonstration - Philipp Petrenz, Srikanth Sundaram, Avinash Ranganath

2nd choice: Text Classification from Labeled and Unlabeled Documents using EM (1999) - Philipp Petrenz, Srikanth Sundaram, Avinash Ranganath

Pavel Petchko

• 1st: Collaborative Ensemble Learning
• 2nd: Empirical Analysis of Predictive Algorithms for Collaborative Filtering
• 3rd: Personalization of Supermarket Product Recommendations

Cen Zhe Qiao & Zhen Wei He

1st: mining the network value of customer

2nd: learning & making decisions when costs and probability are both unknown

3rd: mining a stream of transactions for customer patterns

Xudong He & Ailun Yi:

• 1st: Hierarchical Classification of Web Content
• 2nd: Conditional random fields: Probabilistic models for segmenting and labeling sequence data
• 3rd: Web Document Clustering: A Feasibility Demonstration (1998)

Nicolas Greffard & Stephane Clery : Using Bayesian networks to analyze expression data (2000)

Matching Words and Pictures - Dan Harvey & Sean Moran

Object Recognition with Informative Features and Linear Classification - Aciel Eshky & Marco Brigham

Papanikolaou Amalia (s0899733)-Makrymallis Antonios(s0897366)

1st choice: Discovery of Climate Indices using Clustering

2nd choice: Mining and Summarizing Customer Reviews

3d choice: Learning and Making Decisions When Costs and Probabilities are Both Unknown

Dimitrios Milios, Anastasios Polymeros:

1st choice: Optimizing Search Engines Using Clickthrough Data

2nd choice: ROCK:ARobust Clustering Algorithm for Categorical Attributes (1999)

3rd choice: Probabilistic latent semantic analysis (1999)

Kostantina Palla & Alfredo Kalaitzis

-1st choice: Robust Real-Time Face Detection

-2nd choice: Object Recognition with Informative Features and Linear Classification

-3rd choice: Blobworld: Image segmentation using Expectation-Maximization and its application to image querying

Andreas Damianou, Ioannis Pavlopoulos

• 1st choice: Probabilistic Latent Semantic Indexing (1999)
• 2nd choice: Latent Dirichlet allocation
• 3rd choice: Web Document Clustering: A Feasibility Demonstration (1998)

Giulio Meneghin, Javier Kreiner

1st: The boosting approach to machine learning: An overview

2nd: Detecting Group Differences: Mining Contrast Sets (2001)

3rd: An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data