Πλοήγηση ανά Θέμα "Data mining"
Αποτελέσματα 21-40 από 44
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Generalized indexing for energy-efficient access to partially ordered broadcast data in wireless networks
(2006)Energy conservation and access efficiency are two fundamental though competing goals in broadcast wireless networks. To tackle the energy penalty from sequential searching, the interleaving of index with data items has ... -
Guidance Provision for Increasing Quality of Service of Public Transport
(2017)Travellers formulate their optimal strategyto follow for their trip, every time they may shift to another mode. Trip generalized cost is perceived based on quality of service aspects and type of traveller. One of the most ... -
Hiding sensitive knowledge without side effects
(2009)Sensitive knowledge hiding in large transactional databases is one of the major goals of privacy preserving data mining. However, it is only recently that researchers were able to identify exact solutions for the hiding ... -
High Performance Clustering Techniques: A Survey
(2020)We are living in a world of heavy data bombing and the term Big Data is a key issue these days. The variety of applications, where huge amounts of data are produced (can be expressed in PBs and more), is great in many areas ... -
A Hybrid Approach to Hand Detection and Type Classification in Upper-Body Videos
(2019)Detection of hands in videos and their classification into left and right types are crucial in various human-computer interaction and data mining systems. A variety of effective deep learning methods have been proposed for ... -
A hybrid classification algorithm evaluated on medical data
(2010)Ant colony optimization algorithms have been applied successfully to data mining classification problems. Recently, an improved version of cAnt-Miner (Ant-Miner coping with continuous attributes), called cAnt-Miner2, has ... -
An integer programming approach for frequent itemset hiding
(2006)The rapid growth of transactional data brought, soon enough, into attention the need of its further exploitation. In this paper, we investigate the problem of securing sensitive knowledge from being exposed in patterns ... -
Intelligent identification of biomarkers for the study of obstructive nephropathy
(2013)Obstructive Nephropathy (ON) is a renal disease, which pathological profile is the result of various, tightly coupled and co-regulated, molecular processes, pervading various layers of molecular dissection. In this context, ... -
Investigating the efficiency of machine learning algorithms on mapreduce clusters with SSDs
(2018)In the big data era, the efficient processing of large volumes of data has became a standard requirement for both organizations and enterprises. Since single workstations cannot sustain such tremendous workloads, MapReduce ... -
A Machine Learning workflow for Diagnosis of Knee Osteoarthritis with a focus on post-hoc explainability
(2020)Knee Osteoarthritis (KOA) is a multifactorial disease-causing joint pain, deformity and dysfunction. The aim of this paper is to provide a data mining approach that could identify important risk factors which contribute ... -
A max-min approach for hiding frequent itemsets
(2006)In this paper we are proposing a new algorithmic approach for sanitizing raw data from sensitive knowledge in the context of mining of association rules. The new approach (a) relies on the maxmin criterion which is a method ... -
Modelling cyber-risk in an economic perspective
(2021)In this paper, we present a theoretical approach concerning the econometric modelling for the estimation of cyber-security risk, with the use of time-series analysis methods and alternatively with Machine Learning (ML) ... -
An open data mining framework for the analysis of medical images: Application on Obstructive Nephropathy microscopy images
(2010)This paper presents an open image-mining framework that provides access to tools and methods for the characterization of medical images. Several image processing and feature extraction operators have been implemented and ... -
A pareto-efficient algorithm for data stream processing at network edges
(2018)Data stream processing has received considerable attention from both research community and industry over the last years. Since latency is a key issue in data stream processing environments, the majority of the works ... -
Real Time Sentiment Change Detection of Twitter Data Streams
(2018)In the past few years, there has been a huge growth in Twitter sentiment analysis having already provided a fair amount of research on sentiment detection of public opinion among Twitter users. Given the fact that Twitter ... -
A Self-Pruning Classification Model for News
(2019)News aggregators are on-line services that collect articles from numerous reputable media and news providers and reorganize them in a convenient manner with the aim of assisting their users to access the information they ... -
A self-verifying clustering approach to unsupervised matching of product titles
(2020)The continuous growth of the e-commerce industry has rendered the problem of product retrieval particularly important. As more enterprises move their activities on the Web, the volume and the diversity of the product-related ... -
A solution for multi-agent resource sharing based on fuzzy logic and particle swarm optimization
(2012)Learning in multi-agent settings is a hard task, since agents learn simultaneously and the actions of each agent affect the environment of the others (and vice versa). In real world applications, such as multi-agent settings ... -
Statistical data mining of streaming motion data for fall detection in assistive environments
(2011)The analysis of human motion data is interesting for the purpose of activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in their homes. Several ... -
A study of cAnt-Miner2 parameters using medical data sets
(2010)This paper presents a study of the user-defined parameters of the cAnt-Miner2 algorithm which extended the approach of coping with continuous attributes that was introduced by the cAnt-Miner algorithm. Experiments on two ...