A Bayesian network model for probability estimation
Deriving information from mountain of heathcare data can be too complex and voluminous
to be processed by human capabilities alone. To overcome this flaw or nature of data …
to be processed by human capabilities alone. To overcome this flaw or nature of data …
Predictive analytics and data mining: a framework for optimizing decisions with R tool
High dimensional databases are proving to be a major concern among the researches to
extract relevant information for futuristic decision making. Real world data is high …
extract relevant information for futuristic decision making. Real world data is high …
Big data analytics for ICT monitoring and development
The expanded growth of information and communication technology has opened new era of
digitization which is proving to be a great challenge for researchers and scientists around …
digitization which is proving to be a great challenge for researchers and scientists around …
A spectrum of big data applications for data analytics
As technology is gaining its insights, vast amount of data is getting collected from various
resources. Foremost complex nature of data is providing challenging task among the …
resources. Foremost complex nature of data is providing challenging task among the …
SpaGRID: a spatial grid framework for high dimensional medical databases
The outgrowth of technology in geographical databases has enhanced the growth of spatial
databases, to deal with such enlarging databases scientists are laying down enormous …
databases, to deal with such enlarging databases scientists are laying down enormous …
SPAM: an effective and efficient spatial algorithm for mining grid data
The tremendous increase in spatial database technology has created furious interest among
the researchers to adopt new methodologies for discovery of interesting patterns among …
the researchers to adopt new methodologies for discovery of interesting patterns among …
An Empirical Analysis of Unsupervised Learning Approach on Medical Databases
The early prediction of disease from diverse clinical features is among the critical job for
health care practitioners. The clinical database are generally integrated from various …
health care practitioners. The clinical database are generally integrated from various …
A feature based approach for medical databases
Medical data mining is an emerging field employed to discover hidden knowledge within the
large datasets for early medical diagnosis of disease. Usually, large databases comprise of …
large datasets for early medical diagnosis of disease. Usually, large databases comprise of …
Developing Cybersecurity Capability Forensic Risk Modelling for the Internet of Things
B Antony - 2021 - openrepository.aut.ac.nz
Abstract The Internet of Things (IoT) has grown from a buzz word into a reality that touches
everyone's lives in different ways, from vehicle automation to air conditioning. In this …
everyone's lives in different ways, from vehicle automation to air conditioning. In this …
Hybrid Artificial Intelligent Systems
The two LNAI volumes 7208 and 7209 constitute the proceedings of the 7th International
Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in …
Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in …