Advances in Data Mining. Applications and Theoretical - download pdf or read online

By Hongmin Cai (auth.), Petra Perner (eds.)

ISBN-10: 3642231837

ISBN-13: 9783642231834

ISBN-10: 3642231845

ISBN-13: 9783642231841

This booklet constitutes the refereed complaints of the eleventh business convention on information Mining, ICDM 2011, held in manhattan, united states in September 2011.

The 22 revised complete papers awarded have been conscientiously reviewed and chosen from a hundred submissions. The papers are equipped in topical sections on info mining in drugs and agriculture, information mining in advertising, info mining for business techniques and in telecommunication, Multimedia facts Mining, theoretical features of knowledge mining, information Warehousing, WebMining and knowledge Mining.

Show description

Read Online or Download Advances in Data Mining. Applications and Theoretical Aspects: 11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011. Proceedings PDF

Best industrial books

Doris Sáez MSc, PhD, Aldo Cipriano PhD, Andrzej W. Ordys PhD's Optimisation of Industrial Processes at Supervisory Level: PDF

Within the more and more aggressive glossy international, the commercial area faces new demanding situations equivalent to enhancing productiveness and lowering expenses whereas taking into consideration the method operational constraints. As power call for raises in lots of international locations, specially in massive towns the place the environmental issues are vitally important and assets to provide strength are constrained, the potency of operation of strength vegetation turns into of paramount significance.

Get Progress in Industrial Mathematics at ECMI 2002 PDF

This quantity comprises the complaints of the 12th convention of the Euro­ pean Consortium for arithmetic in undefined. ECMI was once based in 1986 in to foster learn and schooling in arithmetic in in Europe order and those biannual meetings are the convey case for ECMI's learn. it's a excitement to determine that six of the plenary audio system have submitted papers for this quantity.

Extra resources for Advances in Data Mining. Applications and Theoretical Aspects: 11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011. Proceedings

Sample text

Ambekar programming: given a set of n points x1 , . . , xn in a p-dimensional space, find the most tightly fitting (hyper)sphere that encompasses all. Denoting the centre of this sphere by a and its radius by R, this problem boils down to a constrained minimization problem: min R2 a,R subject to xi − a 2 ≤ R2 , ∀i = 1, . . , n. (1) However, if the possibility exist that the dataset has been contaminated with a small number of anomalies, it might prove beneficial to exclude suspicious points from the sphere and label them as outliers.

25–39, 2011. J. Pauwels and O. Ambekar programming: given a set of n points x1 , . . , xn in a p-dimensional space, find the most tightly fitting (hyper)sphere that encompasses all. Denoting the centre of this sphere by a and its radius by R, this problem boils down to a constrained minimization problem: min R2 a,R subject to xi − a 2 ≤ R2 , ∀i = 1, . . , n. (1) However, if the possibility exist that the dataset has been contaminated with a small number of anomalies, it might prove beneficial to exclude suspicious points from the sphere and label them as outliers.

29). In more detail: 1. Once again we can make the distinction between the nin points that reside inside the sphere, the non points that lie on the sphere and the nout points that are outside the sphere. The latter two categories constitute the support vectors: #SV = non + nout . Hence, 1/C = hi = i hi + di R θi + nout . di =R So also in this case we get (cf. eq. (35)): nout ≤ 1 ≤ #SV. C (40) 2. Comparing eqs. (39) and (29) we conclude that we can expect the solution corresponding to linear loss function (36) to be more robust with respect to outliers.

Download PDF sample

Advances in Data Mining. Applications and Theoretical Aspects: 11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011. Proceedings by Hongmin Cai (auth.), Petra Perner (eds.)


by David
4.2

Rated 4.81 of 5 – based on 17 votes