Science General

Advances in Data Mining and Modeling: Hong Kong 27 - 28 June by Wai-Ki Ching, Michael Kwok-Po Ng

By Wai-Ki Ching, Michael Kwok-Po Ng

Information mining and knowledge modelling are below quickly improvement. as a result of their large functions and learn contents, many practitioners and lecturers are interested in paintings in those components. with a purpose to selling conversation and collaboration one of the practitioners and researchers in Hong Kong, a workshop on info mining and modelling used to be held in June 2002. Prof Ngaiming Mok, Director of the Institute of Mathematical learn, The college of Hong Kong, and Prof Tze Leung Lai (Stanford University), C.V. Starr Professor of the collage of Hong Kong, initiated the workshop. This paintings comprises chosen papers provided on the workshop. The papers fall into major different types: information mining and knowledge modelling. info mining papers take care of development discovery, clustering algorithms, class and functional purposes within the inventory marketplace. facts modelling papers deal with neural community types, time sequence types, statistical versions and functional functions.

Show description

Read or Download Advances in Data Mining and Modeling: Hong Kong 27 - 28 June 2002 PDF

Best science (general) books

Spatial Cognition: Foundations and Applications : Selected Papers from Mind III, Annual Conference of the Cognitive Science Society of Ireland, 1998 (Advances in Consciousness Research)

Spatial Cognition brings jointly psychology, computing device technology, linguistics and geography, discussing how humans take into consideration area (our inner cognitive maps and spatial conception) and the way we converse approximately house, for example giving path instructions or utilizing spatial metaphors. The technological purposes including dynamism to the realm comprise machine interfaces, academic software program, multimedia, and in-car navigation platforms.

Business Networks in Japan: Supplier-Customer Interaction in Product Development (Routledge Advances in Asia-Pacific Business, 3)

The extraordinary luck of jap has usually been attributed to the inter-corporate alliances and networks that exist within the jap financial system. Many commentators argue that's has been those networks which have been key to either the speedy progress and good fortune of jap undefined. company Networks in Japan explores the production of supplier-customer networks via case experiences of 2 of Japan's biggest businesses: the Toshiba company and the Nippon metal company.

Cell Polarity

Few cells agree to the stereotype of the round blob rapidly scribbled on chalkboards and, unfortunately, occasionally even displayed prominently in textbooks. as a substitute, actual cells exhibit a outstanding measure of structural and sensible asymmetry. In smooth telephone organic parlance, this asymmetry has emerge as lumped lower than the final heading of "cell polarity".

Observing Land from Space: Science, Customers and Technology (Advances In Global Change Research Volume 4) (Advances in Global Change Research)

This quantity bargains a extensive evaluation of the technological know-how and expertise of distant sensing, its coverage implications, and the wishes of operational clients within the context of weather switch and environmental degradation over land. some of the chapters derive from shows initially made on the first ENAMORS convention on Optical distant Sensing of Terrestrial Surfaces: New Sensors, complex Algorithms, and the chance for Novel purposes, held in Tuusula, Finland, in September 1997.

Additional info for Advances in Data Mining and Modeling: Hong Kong 27 - 28 June 2002

Sample text

C , versus the alternative (change point at k) m . 45 Define where C is the sample covariance matrix of (yl,. ,yn); e(1,and 2(2)is the sample covariance matrix of (91,. . ,yk) and (yk+1,. ,yn) respectively. We accept HO if SIC(n) < min{SIC(k) :p < k < n-p} and accept HI if SIC(n) > S I C ( k ) for some k. Furthermore, we estimate the position of the change point by % such that S I C ( i ) = min{SIC(k) : p < k < n - p}. We apply this SIC to iris data and successfully find three clusters and compare our result to K - means clustering method.

Discussion It can be seen from the above experiment result that both our method and SVM + RFE [22] have correctly classified all samples for MIT’s W A L L data. As for Colon cancer data, the test result of Fisher optimization is obviously better than other methods. There are three parameters in our algorithm: and a . We have 4, a, discovered that when the value of parameter 4 taken is bigger, the test accuracy will be increased (Figure 1). Parameter a2 can regulate the 21 number of genes. Smaller number of genes are selected when and more genes are selected when d, is bigger, d2 is smaller (Figure 2).

We first discuss the family of the k-means type algorithms, which are mostly used in data mining. Then we present a visual method for cluster validation. This method is based on the Fastmap data projection algorithm and its enhancement. Finally, we present a method to combine a clustering algorithm and the visual cluster validation method to interactively build classification models. 1. Introduction Clustering is a fundamental operation in data mining. Clustering is used to solve many business problems.

Download PDF sample

Rated 4.02 of 5 – based on 42 votes