Quantitative Policies over Streaming Data
نویسندگان
چکیده
منابع مشابه
Streaming Queries over Streaming Data
Recent work on querying data streams has focused on systems where newly arriving data is processed and continuously streamed to the user in real-time. In many emerging applications, however, ad hoc queries and/or intermittent connectivity also require the processing of data that arrives prior to query submission or during a period of disconnection. For such applications, we have developed PSoup...
متن کاملFuzzy Data Envelopment Analysis for Classification of Streaming Data
The classification of fuzzy uncertain data is considered one of the most challenging issues in data analysis. In spite of the significance of fuzzy data in mathematical programming, the development of the analytical methods of fuzzy data is slow. Therefore, the current study proposes a new fuzzy data classification method based on fuzzy data envelopment analysis (DEA) which can handle strea...
متن کاملReliable Data Streaming over Delay Tolerant Networks
Data streaming over Delay-Tolerant Networks (DTN) is a challenging task considering jointly the specific characterisics of DTN environments, the demanding nature of streaming applications and their wide applicability. Presently, there are not any advanced mechanisms available to support this functionality and typical configurations fail to efficiently transfer data streams. In this paper, we pr...
متن کاملTesting k-Wise Independence over Streaming Data
Following on the work of Indyk and McGregor [5], we consider the problem of identifying correlations in data streams. They consider a model where a stream of pairs (i, j) ∈ [n] arrive, giving a joint distribution (X,Y ). They find approximation algorithms for how close the joint distribution is to the product of the marginal distributions under various metrics, which naturally corresponds to ho...
متن کاملTowards Kernel Density Estimation over Streaming Data
A variety of real-world applications heavily relies on the analysis of transient data streams. Due to the rigid processing requirements of data streams, common analysis techniques as known from data mining are not applicable. A fundamental building block of many data mining and analysis approaches is density estimation. It provides a well-defined estimation of a continuous data distribution, a ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronic Proceedings in Theoretical Computer Science
سال: 2016
ISSN: 2075-2180
DOI: 10.4204/eptcs.218.0.1