Randomization techniques for data mining methods

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5207 LNCS, Issue , 2008, Pages 1-

  Mannila, Heikki ^a  

^a HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA MINING; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; INFORMATION SYSTEMS; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; MINING;

ALGORITHMIC TECHNIQUES; COMPUTATIONAL TASKS; DATA MINING METHODS; DATABASE QUERIES; GENERATION ALGORITHMS; INTERESTING INFORMATIONS; NOVEL METHODS; NULL MODELS; RANDOMIZATION TECHNIQUES; RANDOMIZATION TESTS; SIGNIFICANCE TESTING; TO MANY;

MATHEMATICAL MODELS;

EID: 54249163723     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85713-6_1     Document Type: Conference Paper

References (3)

1. Gionis, A., Mannila, H., Mielikainen, T., Tsaparas, P.: Assessing data mining results via swap randomization. ACM Transactions on Knowledge Discovery from Data (TKDD), 1, 3, Article No. 14 (2007)
2. Ojala, M., Vuokko, N., Kallio, A., Haiminen, N., Mannila, H.: Randomization of real-valued matrices for assessing the significance of data mining results. In: SIAM Data Mining Conference, pp. 494-505 (2008)
3. Haiminen, N., Mannila, H., Terzi, E.: Comparing segmentations by applying randomization techniques. BMC Bioinformatics 8, 171 (2007)