Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Dimitris K. Tasoulis"'
Publikováno v:
Journal of the Operational Research Society. 63:1645-1654
Credit scoring methods for predicting creditworthiness have proven very effective in consumer finance. In light of the present financial crisis, such methods will become even more important. One of the outstanding issues in credit risk classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e3bf0b736035d9de6c4a45253b554bc
https://doi.org/10.1057/jors.2012.15
https://doi.org/10.1057/jors.2012.15
Publikováno v:
Computational Statistics. 28:463-479
The task of monitoring for a change in the mean of a sequence of Bernoulli random variables has been widely studied. However most existing approaches make at least one of the following assumptions, which may be violated in many real-world situations:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6f8761cb0ca387907d1bfa82796694a
https://doi.org/10.1007/s00180-012-0311-7
https://doi.org/10.1007/s00180-012-0311-7
Autor:
Christoforos Anagnostopoulos, David J. Hand, Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 5:139-166
Advances in data technology have enabled streaming acquisition of real-time information in a wide range of settings, including consumer credit, electricity consumption, and internet user behavior. Streaming data consist of transiently observed, tempo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccfa846ad5f54773d1cff491f096b63e
https://doi.org/10.1002/sam.10151
https://doi.org/10.1002/sam.10151
Publikováno v:
Pattern Recognition Letters. 33:191-198
Classifying streaming data requires the development of methods which are computationally efficient and able to cope with changes in the underlying distribution of the stream, a phenomenon known in the literature as concept drift. We propose a new met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2916702899a31f82018610b64dc84fea
https://doi.org/10.1016/j.patrec.2011.08.019
https://doi.org/10.1016/j.patrec.2011.08.019
Publikováno v:
Technometrics. 53:379-389
The analysis of data streams requires methods which can cope with a very high volume of data points. Under the requirement that algorithms must have constant computational complexity and a fixed amount of memory, we develop a framework for detecting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::996d13b4f29a2586dcc31a9dfaebcda4
https://doi.org/10.1198/tech.2011.10069
https://doi.org/10.1198/tech.2011.10069
Publikováno v:
Pattern Recognition. 44:78-96
Streaming data introduce challenges mainly due to changing data distributions (population drift). To accommodate population drift we develop a novel linear adaptive online classification method motivated by ideas from adaptive filtering. Our approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::658eb36b1f1af131592790b1f545712b
https://doi.org/10.1016/j.patcog.2010.07.026
https://doi.org/10.1016/j.patcog.2010.07.026
Publikováno v:
Pattern Recognition. 43:3391-3411
While data clustering has a long history and a large amount of research has been devoted to the development of numerous clustering techniques, significant challenges still remain. One of the most important of them is associated with high data dimensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f0c200555a6e71d856595250855e446
https://doi.org/10.1016/j.patcog.2010.05.025
https://doi.org/10.1016/j.patcog.2010.05.025
Publikováno v:
Information Fusion. 11:183-191
Delayed measurements can create difficulties for discrete time filtering. Different modes of measurement delay can be identified, and a number of procedure have been developed for extend the Kalman filter to handle these different types of delay. A c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45562a4ad63883f69761a8c9f0c1de2a
https://doi.org/10.1016/j.inffus.2009.06.002
https://doi.org/10.1016/j.inffus.2009.06.002
Publikováno v:
Advances in Data Analysis and Classification. 3:243-261
Modern technology has allowed real-time data collection in a variety of domains, ranging from environmental monitoring to healthcare. Consequently, there is a growing need for algorithms capable of performing inferential tasks in an online manner, co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5b97ed95e3738c5ca698b66c7d8d7e5
https://doi.org/10.1007/s11634-009-0051-x
https://doi.org/10.1007/s11634-009-0051-x
Autor:
Michael N. Vrahatis, E. C. Laskari, Dimitris K. Tasoulis, Yannis C. Stamatiou, G. C. Meletiou
Publikováno v:
Mathematical and Computer Modelling. 46(1-2):174-179
Cryptographic systems based on elliptic curves have been introduced as an alternative to conventional public key cryptosystems. The security of both kinds of cryptosystems relies on the hypothesis that the underlying mathematical problems are computa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef0278e1f26691abcd783aacfc093d46