Keyword: datamining

Found 518 papers in total
Mean maximum values of non-normal distributions for different time periods
Mean maximum values of non-normal distributions for different time periods
2016,
To perform the reliability analysis for structures, it is necessary to determine the...
Mining the change of customer behavior in dynamic markets
Mining the change of customer behavior in dynamic markets
2015,
Identification of changes in customer behavior is a major challenge that must be...
Centers for medicare and medicaid services provider characteristics fail to explain billing variability
Centers for medicare and medicaid services provider characteristics fail to explain billing variability
2016,
We aim to explain the variation in provider charges based on Centers for Medicare and...
Entropy-robust randomized forecasting under small sets of retrospective data
Entropy-robust randomized forecasting under small sets of retrospective data
2016,
This paper suggests a new randomized forecasting method based on entropy‐robust...
Alternating direction method of multipliers for penalized zero-variance discriminant analysis
Alternating direction method of multipliers for penalized zero-variance discriminant analysis
2016,
We consider the task of classification in the high dimensional setting where the...
Using data analytics to capture revenue management benefits in turbulent periods
Using data analytics to capture revenue management benefits in turbulent periods
2016,
Revenue management (RM) is adversely affected and its benefits sharply reduced when...
A group of knowledge-incorporated multiple criteria linear programming classifiers
A group of knowledge-incorporated multiple criteria linear programming classifiers
2011,
Classification is a main data mining task, which aims at predicting the class label of...
The dissecting power of regular languages
The dissecting power of regular languages
2013,
A recent study on structural properties of regular and context‐free languages...
Knowledge, Skills, and Abilities for Entry-Level Business Analytics Positions: A Multi-Method Study
Knowledge, Skills, and Abilities for Entry-Level Business Analytics Positions: A Multi-Method Study
2016,
It is impossible to deny the significant impact from the emergence of big data and...
Monitoring of Multiple Binary Data Streams using a Hierarchical Model Structure
Monitoring of Multiple Binary Data Streams using a Hierarchical Model Structure
2016,
Multiple streams of binary data occur commonly in practice. In this paper, we propose...
From Mobile Phone Sensing to Human Geo-Social Behavior Understanding
From Mobile Phone Sensing to Human Geo-Social Behavior Understanding
2016,
The study of geo‐social behaviors has long been a scientific problem. In...
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems
2016,
Not all instances in a data set are equally beneficial for inferring a model of the...
Predictive Inference for Big, Spatial, Non-Gaussian Data: MODIS Cloud Data and its Change-of-Support
Predictive Inference for Big, Spatial, Non-Gaussian Data: MODIS Cloud Data and its Change-of-Support
2016,
Remote sensing of the earth with satellites yields datasets that can be massive in...
Efficient Mining of Discriminating Relationships Among Attributes Involving Arithmetic Operations
Efficient Mining of Discriminating Relationships Among Attributes Involving Arithmetic Operations
2016,
Contrast patterns describe differences between two or more data sets or data classes;...
User Activities Outliers Detection; Integration of Statistical and Computational Intelligence Techniques
User Activities Outliers Detection; Integration of Statistical and Computational Intelligence Techniques
2016,
In this article, a hybrid technique for user activities outliers detection is...
Stage: Stereotypical Trust Assessment Through Graph Extraction
Stage: Stereotypical Trust Assessment Through Graph Extraction
2016,
Bootstrapping trust assessment where there is little or no evidence regarding a...
Granulation-based symbolic representation of time series and semi-supervised classification
Granulation-based symbolic representation of time series and semi-supervised classification
2011,
We present a semi‐supervised time series classification method based on...
Sample-weighted clustering methods
Sample-weighted clustering methods
2011,
Although there have been many researches on cluster analysis considering feature (or...
Shadow detecting using particle swarm optimization and the Kolmogorov test
Shadow detecting using particle swarm optimization and the Kolmogorov test
2011,
An algorithm combining both gray level information and geometric features is...
P-top-k queries in a probabilistic framework from information extraction models
P-top-k queries in a probabilistic framework from information extraction models
2011,
Many applications today need to manage uncertain data, such as information extraction...
A two-stage feature selection method for text categorization
A two-stage feature selection method for text categorization
2011,
Feature selection for text categorization is a well‐studied problem and its...
On the semantics of top-k ranking for objects with uncertain data
On the semantics of top-k ranking for objects with uncertain data
2011,
The goal of top‐ k ranking for objects is to rank the objects so that the best...
Image segmentation based on histogram analysis utilizing the cloud model
Image segmentation based on histogram analysis utilizing the cloud model
2011,
Both the cloud model and type‐2 fuzzy sets deal with the uncertainty of...
The use of linguistic variables and fuzzy propositions in the L-Fuzzy concept theory
The use of linguistic variables and fuzzy propositions in the L-Fuzzy concept theory
2011,
The use of linguistic variables and fuzzy propositions in the interval‐valued L...
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