A SURVEY ON MINING UNCERTAIN FREQUENT ITEM SET EFFECTIVELY USING PATTERN GROWTH APPROACH
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 4, Issue 7
Abstract
The Frequent Itemset Mining (FIM) is well-known problem in data mining. The FIM is very useful for business intellisense, weather forecasting etc. Many frequent pattern mining algorithms find patterns from traditional transaction databases, in which the content of each transaction namely, items is definitely known and precise. However, there are many real-life situations in which the content of transactions is uncertain. There are two main approaches for FIM: the level-wise approach and the pattern-growth approach. The level-wise approach requires multiple scans of dataset and generates candidate itemsets. The pattern-growth approach requires a large amount of memory and computation time to process tree nodes because the current algorithms for uncertain datasets cannot create a tree as compact as the original FP-Tree. In this literature the proposed method modifies the tree construction strategy in AT-Mine (Array based Tail node Tree) algorithm. The main goal of the proposed approach is to reduce the total time taken to mine the uncertain Frequent Item set using AT-Mine algorithm.
Authors and Affiliations
Ankita B. Ramanandi*,
ASSESSMENT OF GROUNDWATER SOURCES FOR SUITABILITY FOR IRRIGATION AROUND SANGANER TEHSIL, JAIPUR, RAJASTHAN
Continuous degradation in the quality of available groundwater resources is due to increasing global pollution. As a result, systematic assessment of water quality appears to become an absolute necessity. For carrying...
BIOMETRIC OBSERVANCE OF EYE PATTERN USING ALGORITHMS AND DIGITAL IMAGE PROCESSING
In this paper, we describe a non-intrusive vision-based system for the detection of eye pattern of driver fatigue. The system uses a color video camera that points directly towards the driver's face and monitors the dri...
Free Mechanical Vibrations of Visco-Elastic Orthotropic Rectangular Plate with Exponential Varying Temperature
Present paper is a mathematical approach to analyze free vibration of homogeneous Rectangular plate under the variation of temperature and thickness of plate on the basis of classical plate theory. The current stu...
CONTRAST ENHANCEMENT - BASED FORENSICS IN DIGITAL IMAGES
As a retouching manipulation, contrast enhancement is typically used to adjust the global brightness and contrast of digital images. In this paper, we propose two novel algorithms to detect the contrast...
Time Streaming of 3D Objects and Movies with Virtual Reality
Throughout the past decade, the notion of Virtual Reality and its usage technique has influenced research in many application areas including Image Based Rendering, Medical, Military, Virtual health clinic, Simula...