Posted by 
By Kenji Abe, Shinji Kawasoe, Tatsuya Asai, Hiroki Arimura, Setsuo Arikawa (auth.), Tapio Elomaa, Heikki Mannila, Hannu Toivonen (eds.)
This publication constitutes the refereed court cases of the sixth ecu convention on rules of information Mining and data Discovery, PKDD 2002, held in Helsinki, Finland in August 2002.
The 39 revised complete papers offered including four invited contributions have been conscientiously reviewed and chosen from a number of submissions. one of the subject matters lined are kernel tools, probabilistic equipment, organization rule mining, tough units, sampling algorithms, trend discovery, internet textual content mining, meta information clustering, rule induction, details extraction, dependency detection, infrequent type prediction, classifier structures, textual content type, temporal series research, unsupervised studying, time sequence research, scientific facts mining, and so forth.
Read or Download Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002 Helsinki, Finland, August 19–23, 2002 Proceedings PDF
Similar international conferences and symposiums books
NGITS2002 used to be the ? fth workshop of its style, selling papers that debate new applied sciences in info platforms. Following the luck of the 4 p- vious workshops (1993, 1995, 1997, and 1999), the ? fth NGITS Workshop came about on June 24–25, 2002, within the historical urban of Caesarea. in accordance with the decision for Papers, 22 papers have been submitted.
The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was once held in Porto, Portugal, on October three, 2005 at the side of the sixteenth eu convention on computer studying and the ninth eu convention on ideas and perform of data Discovery in Databases. Ever because the begin of the ?
RuleML 2005 used to be the ? rst overseas convention on ideas and rule markup languages for the Semantic internet, held along side the overseas Semantic internet C- ference (ISWC) at Galway, eire. With the good fortune of the RuleML workshop sequence got here the necessity for prolonged study and functions themes equipped in a convention structure.
The yearly international financial institution convention on improvement Economics (ABCDE) brings jointly the world's most interesting improvement thinkers to give their views and concepts. in recent times, a parallel, moment convention has been held in Europe with an identical aim of increasing the movement of rules among thinkers, practitioners, and policymakers within the box of foreign improvement.
Additional info for Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002 Helsinki, Finland, August 19–23, 2002 Proceedings
Sample text
As for the time complexity analysis, the time complexity of the first phase of the algorithm is dN (d log N + (n + k)(d + log k)). Let N ∗ be the number of candidate outliers at the end of the first phase. Then the time complexity of the second phase is N ∗ (log n + N ∗ (d + log k)). 4 Experimental Results and Conclusions We implemented the algorithm using the C programming language on a Pentium III 850MHz based machine having 512Mb of main memory. We used a 64 bit floating-point type to represent the coordinates of the points and the distances, and the 32th order approximation of the d-dimensional Hilbert curve to map the hypercube [0, 2)d onto the set of integers [0, 232d ).
Affected individuals were schizophrenia patients recruited from the northern Stockholm region. The control group was recruited from the same region and matched to the affected group with respect to age and gender. All participants underwent interview by an experienced psychiatrist to confirm schizophrenia in the affected group and absence of mental disorders in the control group. For a set of genes believed to be important for systems disturbed in persons developing schizophrenia, most of the participants were genotyped using single nucleotide polymorphisms (SNP:s).
Int. conf. on Very Large Databases (VLDB98), pages 392–403, 1998. 16 13. M. Lopez and S. Liao. Finding k-closest-pairs efficiently for high dimensional data. In Proc. 12th Canadian Conf. on Computational Geometry (CCCG), pages 197– 204, 2000. 19 14. S. Ramaswamy, R. Rastogi, and K. Shim. Efficient algorithms for mining outliers from large data sets. In Proc. ACM Int. Conf. on Managment of Data (SIGMOD’00), pages 427–438, 2000. 16 15. Hans Sagan. Space Filling Curves. Springer-Verlag, 1994. 18 16. S.