By Rainer Schmidt, Heike Weiss, Georg Fuellen (auth.), Petra Perner (eds.)

This booklet constitutes the refereed complaints of the twelfth commercial convention on info Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised complete papers offered have been conscientiously reviewed and chosen from ninety seven submissions. The papers are equipped in topical sections on facts mining in medication and biology; info mining for power undefined; information mining in site visitors and logistic; information mining in telecommunication; info mining in engineering; thought in info mining; concept in facts mining: clustering; conception in information mining: organization rule mining and selection rule mining.

Show description

Read Online or Download Advances in Data Mining. Applications and Theoretical Aspects: 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings PDF

Best industrial books

Industrial Work and Life: An Anthropological Reader (London School of Economics Monographs on Social Anthropology)

Commercial paintings and lifestyles: An Anthropological Reader is a finished anthropological assessment of industrialisation in either Western and non-Western societies. in keeping with modern and ancient ethnographic fabric, the e-book unpacks the 'world of undefined' within the context of the store flooring, the family members, and town, revealing the wealthy social and political texture underpinning financial improvement.

Progress in Industrial Mathematics at ECMI 2000

The eu Consortium for arithmetic in (ECMI) was once based in 1986 through best teams of mathematicians in Europe for the subsequent scopes: i) direct involvement of mathematicians in R&D actions; ii) overseas cooperation at a ecu scale; iii) schooling of commercial mathematicians to satisfy the starting to be call for for such specialists.

Extra info for Advances in Data Mining. Applications and Theoretical Aspects: 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings

Example text

Nagy and K. Buza Fig. 2. Construction of a binary change indicator matrix from a tick data matrix. The tick data matrix is shown in the top of the figure, while the corresponding indicator matrix is shown in the bottom. The index column is the Time column in this example. , all the columns except the index column) as instances in conventional clustering algorithms. t. the required storage space compared to the case of storing the original tick data matrix. In the next section, we develop a clustering algorithm that directly optimize the storage space required to store the decomposed tick data matrix.

Hu Abstract. Storage of tick data is a challenging problem because two criteria have to be fulfilled simultaneously: the storage structure should allow fast execution of queries and the data should not occupy too much space on the hard disk or in the main memory. In this paper, we present a clustering-based solution, and we introduce a new clustering algorithm that is designed to support the storage of tick data. We evaluate our algorithm both on publicly available real-world datasets, as well as real-world tick data from the financial domain provided by one of the world-wide most renowned investment bank.

From the other hand, the specificity of classifiers remains on the level of 65-70%, which means that for about 30% of patients with negative diagnosis the decision support system suggested to make an endoscopy. This is a good result, comparing to the initial case, when an endoscopy was performed for each patient. Looking at the results from the other side - the false-negatives rate still remains above zero level. This means that some patiens with positive diagnosis will remain unthreated, meaning that the decision support system should not be used as a primary source for decision making.

Download PDF sample

Rated 4.30 of 5 – based on 39 votes