Zobrazeno 1 - 10
of 213
pro vyhledávání: '"Klemens Böhm"'
Publikováno v:
Machine Learning, 111 (4), 1349–1375
Support Vector Data Description (SVDD) is a popular one-class classifier for anomaly and novelty detection. But despite its effectiveness, SVDD does not scale well with data size. To avoid prohibitive training times, sampling methods select small sub
An Ensemble Technique for Better Decisions Based on Data Streams and its Application to Data Privacy
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:3662-3674
In this work, we address the problem of making decisions based on data streams, i.e., choosing an action when a new value is recorded. For instance, actions can be trading decisions in financial markets, choices of controllers in dynamic systems or p
Publikováno v:
SN Computer Science, 3 (6), Art.-Nr.: 445
While feature selection helps to get smaller and more understandable prediction models, most existing feature-selection techniques do not consider domain knowledge. One way to use domain knowledge is via constraints on sets of selected features. Howe
Autor:
Georg Steinbuss, Klemens Böhm
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 15:1-20
Benchmarking unsupervised outlier detection is difficult. Outliers are rare, and existing benchmark data contains outliers with various and unknown characteristics. Fully synthetic data usually consists of outliers and regular instances with clear ch
Publikováno v:
Information Systems. 114:102157
Publikováno v:
ACM Transactions on Cyber-Physical Systems. 5:1-29
Location-based services are one of the most important services offered by mobile social networks. Offering this kind of service requires accessing the physical position of users together with the access authorizations, i.e., who is authorized to acce
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60441144259d1c624d1047e5e64ca861
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783031115097
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf1b132daf91b457eec772d95a452264
https://doi.org/10.1007/978-3-031-11510-3_4
https://doi.org/10.1007/978-3-031-11510-3_4
Publikováno v:
Information Systems. 109:102079
Publikováno v:
it - Information Technology. 61:111-123
Energy data often is available at high temporal resolution, which challenges the scalability of data-analysis methods. A common way to cope with this is to aggregate data to, say, 15-minute-interval summaries. But it often is not known how much infor