Day |
Time |
Sessions |
Thursday, May 1 |
7:30am - 8:15am |
Continental Breakfast |
|
8:15am - 8:30am |
Welcoming Remarks |
|
|
|
8:30am - 9:45am |
|
|
|
|
9:45am-10:00am
|
Coffee
Break |
|
|
|
10:00am - 12:00pm |
|
Session 1
(Chair: Don Brown)
-
10:00am - 10:30am
Feature Mining Algorithms for Scientific Data
-
10:30am - 11:00am
A comparative study of Anomaly Detection Schemes for Network Intrusion
Detection
-
11:00am - 11:30am
Fast online SVD revisions for lightweight recommender systems
- 11:30am - 12:15pm
Decision tree classification of spatial data patterns from videokeratography
using Zernike polynomials (best paper: 45 mins)
|
Session 2
(Chair: Inderjit Dhillon)
-
10:00am - 10:30am
Finding Clusters of Different Sizes, Shapes, and Densities
in Noisy, High Dimensional Data
-
10:30am - 11:00am
Hierarchical Document Clustering Using Frequent Itemsets
-
11:00am - 11:30am
Scalable, Balanced Model-based Clustering
-
11:30am - 12:00pm
A New Gravitational Clustering Algorithm
|
|
|
|
12:00pm - 1:45pm |
Lunch (attendees on their own) |
|
|
|
1:45pm - 3:00pm |
|
|
|
|
3:00pm - 4:30pm |
|
Session 3
(Chair: Shusaku Tsumoto)
-
3:00pm - 3:30pm
Mining Changes of Classification by Correspondence Tracing
- 3:30pm - 4:00pm
Dynamic Classification of Online Customers
- 4:00pm - 4:30pm
Communication and Memory Efficient Parallel
Decision Tree Construction
|
Session 4
(Chair: Michael Berry)
-
3:00pm - 3:30pm
ATLaS: A Native Extension of SQL for Data Mining
- 3:30pm - 4:00pm
Approximate Query Answering by Model Averaging
- 4:00pm - 4:30pm
On Using Page Cooccurrences for Computing Clickstream
Similarity
|
|
|
|
4:30pm - 4:45 |
Coffee Break |
|
|
|
4:45pm - 6:15pm |
Tutorial2: Continued |
Session 5: Student Session
(Chair: Daniel Barbara)
-
4:45pm - 5:05pm
ApproxMAP: Approximate Mining of Consensus Sequential Patterns
- 5:05pm - 5:25pm
Mining frequent sequential patterns under regular
expressions: an highly adaptive strategy for pushing constraints
- 5:25pm - 5:45pm
Sort-Merge Feature Selection for Video Data
- 5:45pm - 6:05pm
An Outlier-based Data Association Method for
Linking Criminal Incidents
|
Session 6: Student Session
(Chair: David Skillicorn)
- 4:45pm - 5:05pm
CPAR: Classification based on Predictive Association
Rules
- 5:05pm - 5:25pm
Mining Temporal Databases for Subsequence Patterns
- 5:25pm - 5:45pm
Using Low-Memory Representations to Cluster
Very Large Data Sets
|
|
|
|
6:15pm - 8:00pm |
Poster Session and Reception |
-
Efficient Unsupervised Mining from Noisy Data
Sets: Application to Clustering Co-occurrence Data
-
Active Sampling: An Effective Approach to Feature
Selection
-
PageRank, HITS and a Unified Framework for Link
Analysis
-
The Application of Text Mining Software to Examine
Coded Information Applied to Health Outcomes
-
Extracting Cyber Communities Through Patterns
On the Techniques for Data Clustering with Numerical Constraints
-
The Analysis of Asthma and Exposure Data
-
Using Geographic Information Systems and Data
Mining Information
-
Detecting Periodicity in Nonideal Datasets
-
Detection of Underrepresented Biological Sequences
using
Class-Conditional Distribution Models
-
Learning Bayesian Network Structure from Distributed
Data
-
Mixture models and frequent sets: combining global
and local methods for 0-1 data
Field-theoretic methods for intractable probabilistic models
-
Data-Mining of a Large Virtual Community: Relationships
Between the Users DB and the Web-Log File
-
Cube Lattices: a Framework for Multidimensional
Data Mining
|
|
|
Friday, May 2 |
7:30am - 8:15am |
Continental Breakfast |
|
8:15am - 8:30am |
Announcements |
|
|
|
8:30am - 9:45am |
|
|
|
|
9:45am-10:00am
|
Coffee Break |
|
|
|
10:00am - 12:00pm |
|
Session 7
(Chair: Xintao Wu)
- 10:00am - 10:30am
CloSpan: Mining Closed Sequential Patterns
in Large Datasets
- 10:30am - 11:00am
StarClass: Interactive Visual Classification
Using Star Coordinates
- 11:00am - 11:30am
Anytime Query-Tuned Kernel Machines Via Cholesky
Factorization
- 11:30am - 12:00pm
Estimation of Topological Dimension
|
Session 8
(Chair: Sabyasachi Basu)
- 10:00am - 10:30am
Generalized Sensitivity Analysis: A Framework for Evaluating
Data Analysis Results
- 10:30am - 11:00am
STAMP: On Discovery of Statistically Important Pattern Repeats
in Long Sequential Data
- 11:00am - 11:45am
Nonparametric Density Estimation: Toward Computational Tractability
(best paper: 45 mins)
|
|
|
|
12:00pm - 1:45pm |
Lunch (attendees on their own) |
|
|
|
1:45pm - 3:00pm |
Keynote 4: RFtools--two-eyed Algorithms
(abstract forthcoming)
Leo Breiman
University of California, Berkeley
|
|
|
|
3:00pm - 4:30pm |
|
- Minisymposium: Multi-Media Data Mining (Pdf)
|
-
Minisymposium: Challenges for data miners,
statisticians, and clients (Pdf)
|
|
|
|
4:30pm - 4:45 |
Coffee Break |
|
|
|
4:45pm -
6:15pm |
Tutorial4:
Continued |
|
- Minisymposium: Challenges for data miners, statisticians, and
clients (PDFs, Goodman 1, 2, 3, Jordan, Nychka
|
|
|
Saturday, May 3 |
7:30am - 8:15am |
Continental Breakfast |
|
8:30am - 10:00am |
|
|
|
|
10:00am - 10:30am |
Coffee Break |
|
|
|
10:30am - 12:00pm |
Sessions Resume |
|
|
|
|
12:00pm - 1:45pm |
Lunch (attendees on their own) |
|
|
|
1:45pm - 3:15pm |
Sessions Resume |
|
|
|
3:15pm - 3:45pm |
Coffee Break |
|
|
|
3:45pm - 5:15pm |
Sessions Resume |
|
|
|
5:15pm |
Conference Adjourns |