A traditional analysis for efficient data mining with integrated association mining into regression techniques
A Wal-Mart salesman was trying to surge the sales data of the store by combining the
commodities together and putting discounts on those products. The goods are clearly …
commodities together and putting discounts on those products. The goods are clearly …
Analyses on artificial intelligence framework to detect crime pattern
In this paper, an Artificial Intelligence (AI)‐based crime scene detection method is designed
to improve the identification of crime scene in real‐time basis. The design focuses entirely …
to improve the identification of crime scene in real‐time basis. The design focuses entirely …
Causation analysis model: based on AHP and hybrid Apriori-Genetic algorithm
This paper presents a causation analysis model for traffic accident. Traffic accident is a result
influenced by the interaction of various factors. Considering the characteristic of multi …
influenced by the interaction of various factors. Considering the characteristic of multi …
Frequent pattern mining assisted energy consumption evolutionary optimization approach based on surrogate model at GCC compile time
The evolutionary algorithms have been used to improve the energy consumption of
embedded software by searching the optimal compilation options of GCC compiler …
embedded software by searching the optimal compilation options of GCC compiler …
A design space exploration framework for reduced bit-width instruction set architecture (rISA) design
Code size is a critical concern in many embedded system applications, especially those
using RISC cores. One promising approach for reducing code size is to employ a" dual …
using RISC cores. One promising approach for reducing code size is to employ a" dual …
A comparative analysis on efficiency of contemporary association rule mining algorithm
T Bharathi, P Krishnakumari - 2016 3rd International …, 2016 - ieeexplore.ieee.org
A vital procedure that is indispensable in the field of data mining is the association rule
mining in which the focus is up on the finding of the curious associations, correlations and …
mining in which the focus is up on the finding of the curious associations, correlations and …
[PDF][PDF] Association rule mining using computational intelligence technique
S Iqbal, S ur Rehman - J. Comput. Sci. IJCSIS, 2016 - academia.edu
The discovery of suitable and interesting information from a database is known as “Data
mining (DM)”. The unseen and new information is mined from the existing databases is an …
mining (DM)”. The unseen and new information is mined from the existing databases is an …
An implementation and analysis of DSR using market basket analysis to improve the sales of business
The mention system is implementing to enhance the sales of retail business. Daily Status
Report system is use for increasing the performance of retail business by using the data …
Report system is use for increasing the performance of retail business by using the data …
Computational intelligence in telecommunication networks: a review
The recent increase in the demand for process optimisation, something which we continually
learn from nature, help the telecommunication arena to rapidly evolve into a more scalable …
learn from nature, help the telecommunication arena to rapidly evolve into a more scalable …
[PDF][PDF] Amalgamation of automated test case generation techniques with data mining techniques: A survey
Y Dubey, D Singh, A Singh - International Journal of Computer …, 2016 - researchgate.net
ABSTRACT A testing module in the life cycle of a software development plays a crucial role
for its development and its successful deployment using the defined cases. For this previous …
for its development and its successful deployment using the defined cases. For this previous …