SIGKDD(KDD) 2000 论文列表Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, Boston, MA, USA, August 20-23, 2000. |
Text mining (workshop session - title only).
Multimedia data mining (workshop session - title only).
Distributed and parallel knowledge discovery (workshop session - title only).
Web mining for e-commerce (workshop session - title only).
Discovery of multi-level rules and exceptions from a distributed database.
Incremental quantile estimation for massive tracking.
Defection detection: using activity profiles to predict ISP customer vulnerability.
Discovering similar patterns in time series.
Mining the stock market (extended abstract): which measure is best?
Data mining techniques for optimizing inventories for electronic commerce.
Hybrid Poisson process.
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing.
Targeting the right students using data mining.
Identifying prospective customers.
Cross-sell: a fast promotion-tunable customer-item recommendation method based on conditionally independent probabilities.
Exploration mining in diabetic patients databases: findings and conclusions.
Automating exploratory data analysis for efficient data mining.
Textual data mining of service center call records.
Agglomerative clustering of a search engine query log.
Predictive modeling in automotive direct marketing: tools, experiences and open issues.
Data mining to detect abnormal behavior in aerospace data.
Genome scale prediction of protein functional class from sequence using data mining.
Data mining solves tough semiconductor manufacturing problems.
Classification and visualization for high-dimensional data.
Feature selection in unsupervised learning via evolutionary search.
Visualization and interactive feature selection for unsupervised data.
FreeSpan: frequent pattern-projected sequential pattern mining.
Can we push more constraints into frequent pattern mining?
Alpha seeding for support vector machines.
A classifier for semi-structured documents.
Efficient algorithms for constructing decision trees with constraints.
A sequential sampling algorithm for a general class of utility criteria.
Unsupervised Bayesian visualization of high-dimensional data.
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms.
Multivariate discretization of continuous variables for set mining.
Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets.
Application of neural networks to biological data mining: a case study in protein sequence classification.
A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model.
Towards scalable support vector machines using squashing.
IntelliClean: a knowledge-based intelligent data cleaner.
Scaling up dynamic time warping for datamining applications.
Visualization of navigation patterns on a Web site using model-based clustering.
Mining asynchronous periodic patterns in time series data.
Efficient mining of weighted association rules (WAR).
Growing decision trees on support-less association rules.
Using the fractal dimension to cluster datasets.
Hardening soft information sources.
RuleViz: a model for visualizing knowledge discovery process.
Interactive exploration of very large relational datasets through 3D dynamic projections.
Visualizing association rules with interactive mosaic plots.
Visualization and the process of modeling: a cognitive-theoretic view.
Multi-level organization and summarization of the discovered rules.
Explicitly representing expected cost: an alternative to ROC representation.
A framework for specifying explicit bias for revision of approximate information extraction rules.
Towards an effective cooperation of the user and the computer for classification.
Efficient clustering of high-dimensional data sets with application to reference matching.
Global partial orders from sequential data.
Efficient identification of Web communities.
A general probabilistic framework for clustering individuals and objects.
The generalized Bayesian committee machine.
The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space.
Depth first generation of long patterns.
Efficient search for association rules.
Active learning using adaptive resampling.
Deformable Markov model templates for time-series pattern matching.
Mining high-speed data streams.
Data selection for support vector machine classifiers.
Small is beautiful: discovering the minimal set of unexpected patterns.
Ongoing management and application of discovered knowledge in a large regulatory organization: a case study of the use and impact of NASD Regulation's Advanced Detection System (RADS).
Generating non-redundant association rules.
An empirical analysis of techniques for constructing and searching k-dimensional trees.
Mining IC test data to optimize VLSI testing.
Hancock: a language for extracting signatures from data streams.
After the gold rush (invited talk, abstract only): data mining in the new economy (invited talk, abstract only).
E-metrics: tomorrow's business metrics today (invited talk, abstract only).
Decision support in the booming e-world (invited talk, abstract only).
Among those dark electronic mills: privacy and data mining (invited talk, abstract only).
Informed knowledge discovery: using prior knowledge in discovery programs (invited talk, abstract only).
On certain rigorous approaches to data mining (invited talk, abstract only).