Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets - 2015


Mining high utility itemsets (HUIs) from databases is a crucial knowledge mining task, which refers to the invention of itemsets with high utilities (e.g. high profits). However, it might present too many HUIs to users, that conjointly degrades the efficiency of the mining process. To achieve high efficiency for the mining task and give a concise mining result to users, we propose a unique framework during this paper for mining closed+ high utility itemsets(CHUIs), that is a compact and lossless illustration of HUIs. We tend to propose three economical algorithms named AprioriCH (Apriori-based algorithm for mining High utility Closed+ itemsets), AprioriHC-D (AprioriHC algorithm with Discarding unpromising and isolated items) and CHUD (Closed+ High Utility Itemset Discovery) to seek out this illustration. Further, a method known as DAHU (Derive All High Utility Itemsets) is proposed to recover all HUIs from the set of CHUIs without accessing the original database. Results on real and synthetic datasets show that the proposed algorithms are terribly efficient which our approaches achieve a huge reduction in the amount of HUIs. Similarly, when all HUIs will be recovered by DAHU, the mixture of CHUD and DAHU outperforms the state-of-the-art algorithms for mining HUIs.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations - 2018ABSTRACT:Solving large-scale sparse linear systems of equations (SLSEs) is one in all the foremost common and basic problems in
PROJECT TITLE :Distributed Feature Selection for Efficient Economic Big Data Analysis - 2018ABSTRACT:With the rapidly increasing popularity of economic activities, a large amount of economic data is being collected. Although
PROJECT TITLE :Efficient Wideband DOA Estimation Through Function Evaluation Techniques - 2018ABSTRACT:This Project presents an economical analysis methodology for the functions involved within the computation of direction-of-arrival
PROJECT TITLE :Efficient System Tracking With Decomposable Graph-Structured Inputs and Application to Adaptive Equalization With Cyclostationary Inputs - 2018ABSTRACT:This Project introduces the graph-structured recursive least
PROJECT TITLE :Efficient Partial-Sum Network Architectures for List Successive-Cancellation Decoding of Polar Codes - 2018ABSTRACT:List successive cancellation decoder (LSCD) architectures have been recently proposed for the decoding

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry