Results 251 to 260 of about 82,469 (304)

Imprecise Data and the Data Mining Process

, 2005
Missing or inconsistent data has been a pervasive problem in data analysis since the origin of data collection. The management of missing data in organizations has recently been addressed as more firms implement large-scale enterprise resource planning systems (see Vosburg & Kumar, 2001; Xu et al., 2002).
Marvin L. Brown, John F. Kros
openaire   +2 more sources

OLAP over uncertain and imprecise data [PDF]

The VLDB Journal, 2006
We extend the OLAP data model to represent data ambiguity, specifically imprecision and uncertainty, and introduce an allocation-based approach to the semantics of aggregation queries over such data. We identify three natural query properties and use them to shed light on alternative query semantics.
Douglas Burdick, Prasad Deshpande, T. S. Jayram, Raghu Ramakrishnan 0001, Shivakumar Vaithyanathan   +4 more
openaire   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Data envelopment analysis with imprecise data

European Journal of Operational Research, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dimitris K. Despotis, Yannis G. Smirlis
openaire   +1 more source

Clustering data and imprecise concepts

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2011
Cluster analysis is the assignment of grouping a set of observations into clusters so that observations in the same cluster are similar in some sense. One of the key features for clustering is how to define a sensible similarity measure. However, classical clustering algorithms have no ability to cluster data instances and imprecise concepts using ...
Weifeng Zhang 0008, Zengchang Qin
openaire   +1 more source

Combat modeling with imprecise data

International Journal of Intelligent Systems, 1992
Summary: We apply the fuzzy description to some analytic models of combat, based on ordinary differential equations. The extension to a more involved partial differential equations model is briefly mentioned. The merits of the fuzzy description versus the deterministic or probabilistic descriptions are discussed.
V. Protopopescu, Ronald R. Yager, John T. Dockery   +2 more
openaire   +1 more source

Data envelopment scenario analysis with imprecise data

Central European Journal of Operations Research, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Najmeh Malekmohammadi, Farhad Hosseinzadeh Lotfi, Azmi Jaafar   +2 more
openaire   +1 more source

A belief classification rule for imprecise data

Applied Intelligence, 2013
The classification of imprecise data is a difficult task in general because the different classes can partially overlap. Moreover, the available attributes used for the classification are often insufficient to make a precise discrimination of the objects in the overlapping zones. A credal partition (classification) based on belief functions has already
Zhunga Liu, Quan Pan 0001, Jean Dezert
openaire   +1 more source

Imprecise Rules for Data Privacy

2015
When rules are induced, some rules can be supported only by a very small number of objects. Such rules often correspond to special cases so that supporting objects may be easily estimated. If the rules with small support include some sensitive data, this estimation of objects is not very good in the sense of data privacy.
Masahiro Inuiguchi, Takuya Hamakawa, Seiki Ubukata   +2 more
openaire   +1 more source

Growing a tree classifier with imprecise data

Pattern Recognition Letters, 2000
Abstract Symbolic data analysis proposes a general framework to extend usual data analysis methods to more complex data called symbolic objects. The prediction problem for symbolic objects is defined: it is seen to be a generalization of the prediction for standard data.
A. Ciampi, Edwin Diday, J. Lebbe, E. Périnel, R. Vignes   +4 more
openaire   +1 more source

The algorithms for processing of imprecise temporal data

2016 19th Conference of Open Innovations Association (FRUCT), 2016
In this paper we initiated the process of analyzing and addressing the problems related to storing and retrieval of inaccurate time information by means of building a new model of fuzzy temporal domain and corresponding data types, as well as methods for processing of fuzzy temporal relations between time points and/or intervals with the implementation
Aleksandr V. Flegontov, Vladimir V. Fomin, Sergey V. Maltsev   +2 more
openaire   +1 more source