KDD 2001 - PDF Preprint Papers

KDD 2001 International Conference on Knowledge Discovery and Data Mining

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KDD
2001
ACM

1203views Data Mining» more KDD 2001»

Application of Data Mining Techniques for Medical Image Classification

14 years 11 months ago

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Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumou...

Maria-Luiza Antonie, Osmar R. Zaïane, Alexand...

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Id	Views	Title	Status

1	1203	Application of Data Mining Techniques for Medical Image Classification	claim
2	359	Data mining techniques to improve forecast accuracy in airline business	claim
3	332	Mining e-commerce data: the good, the bad, and the ugly	claim
4	262	LOGML: Log Markup Language for Web Usage Mining	claim
5	253	GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces	claim
6	237	Exploiting Web Log Mining for Web Cache Enhancement	claim
7	231	A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking	claim
8	228	REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive industry	claim
9	226	Mining from open answers in questionnaire data	claim
10	226	Image Mining: Issues, Frameworks and Techniques	claim
11	222	The PERSEUS Project: Creating Personalized Multimedia News Portal	claim
12	216	The distributed boosting algorithm	claim
13	216	Real world performance of association rule algorithms	claim
14	211	Magical thinking in data mining: lessons from CoIL challenge 2000	claim
15	203	Ensemble-index: a new approach to indexing large databases	claim
16	196	Efficient discovery of error-tolerant frequent itemsets in high dimensions	claim
17	195	Multimedia Data Mining for Traffic Video Sequences	claim
18	194	Mining Indirect Associations in Web Data	claim
19	192	Data mining with sparse grids using simplicial basis functions	claim
20	187	Random projection in dimensionality reduction: applications to image and text data	claim
21	186	Detecting graph-based spatial outliers: algorithms and applications (a summary of results)	claim
22	181	Co-clustering documents and words using bipartite spectral graph partitioning	claim
23	181	Identifying non-actionable association rules	claim
24	179	Data mining case study: modeling the behavior of offenders who commit serious sexual assaults	claim
25	177	Mining time-changing data streams	claim
26	169	Hierarchical cluster analysis of SAGE data for cancer profiling	claim
27	166	Generalized clustering, supervised learning, and data assignment	claim
28	164	Data mining criteria for tree-based regression and classification	claim
29	163	Learning to recognize brain specific proteins based on low-level features from on-line prediction servers	claim
30	163	The "DGX" distribution for mining massive, skewed data	claim
31	163	Data Mining for Typhoon Image Collection	claim
32	156	Classification of genes using probabilistic models of microarray expression profiles	claim
33	156	A Customer Purchase Incidence Model Applied to Recommender Services	claim
34	155	Evaluating the novelty of text-mined rules using lexical knowledge	claim
35	154	A spectral method to separate disconnected and nearly-disconnected web graph components	claim
36	153	Evaluation of prediction models for marketing campaigns	claim
37	152	A scalable algorithm for clustering protein sequences	claim
38	152	A streaming ensemble algorithm (SEA) for large-scale classification	claim
39	150	Empirical bayes screening for multi-item associations	claim
40	150	Mining top-n local outliers in large databases	claim
41	149	Maximum entropy methods for biological sequence modeling	claim
42	148	Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web	claim
43	148	Discovering associations with numeric variables	claim
44	146	Mining the network value of customers	claim
45	145	A learning algorithm for string assembly	claim
46	145	Proximal support vector machine classifiers	claim
47	142	TreeDT: gene mapping by tree disequilibrium test	claim
48	141	Induction of semantic classes from natural language text	claim
49	140	Advances in decision tree construction	claim
50	137	Molecular feature mining in HIV data	claim
51	136	Gaining insights into support vector machine pattern classifiers using projection-based tour methods	claim
52	130	Learning and making decisions when costs and probabilities are both unknown	claim
53	129	Extracting collective probabilistic forecasts from web games	claim
54	128	Robust space transformations for distance-based operations	claim
55	128	Data filtering for automatic classification of rocks from reflectance spectra	claim
56	128	Experimental comparisons of online and batch versions of bagging and boosting	claim
57	125	Challenges for knowledge discovery in biology	claim
58	124	Tri-plots: scalable tools for multidimensional data mining	claim
59	118	Infominer: mining surprising periodic patterns	claim
60	116	Solving regression problems with rule-based ensemble classifiers	claim
61	113	Mining massively incomplete data sets by conceptual reconstruction	claim

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