Review Paper - High Utility Item sets Mining on Incremental Transactions using UP-Growth and UP-Growth+ Algorithm

One of the important research area in data mining is high utility pattern mining. Discovering itemsets with high utility like profit from database is known as high utility itemset mining. There are number of existing algorithms have been work on this issue. Some of them incurs problem of generating large number of candidate itemsets. This leads to degrade the performance of mining in case of execution time and space. In this paper we have focus on UP-Growth and UP-Growth+ algorithm which overcomes this limitation. This technique uses tree based data structure, UP-Tree for generating candidate itemsets with two scan of database. In this paper we extend the functionality of these algorithms on incremental database.

A Steganography Implementation

Numerous techniques are utilized to hide information in different organizations in steganography. The most broadly utilized system by virtue of its straightforwardness is the utilization of the Least Significant Bit. Least Significant Bit or its variations are typically used to shroud information in a digital image. Alternate bits might be utilized yet it is exceedingly likely that picture would be twisted. This paper talks about the workmanship and investigation of Steganography as a rule and proposes a novel procedure to shroud information in a beautiful picture utilizing minimum huge piece.  

A Multi-objective Optimization Problem with Its Approaches and Applications

Optimization is used for finding one or more optimal or feasible solutions for single and multiple objective problems. A multi-objective optimization problemhave two or more objective, but in many realwordsMOP, objectivesunderconstraintmay conflict with each other and optimizing a particular solution with respect to a single objective can result in unacceptable results with respect to the other objectives. A reasonable solution to a multi-objective problem is to investigate a set of solutions, each of which satisfies the objectives at an acceptable level without being dominated by any other solution.This paper presents a multi-objective optimization problem, methods to solve MOP and their applications

EXPERIMENTAL INVESTIGATION ON EFFECT OF HIGH TEMPERATURE ON M-20 GEOPOLYMER CONCRETE

Concrete is one of the most widely used construction material. The global use of cement concrete is second only to the use of water. The demand for concrete as a construction material is increasing day to day. The production process of cement releases some harmful substances, which adversely effect on environment. Design and experimental investigation on development of geopolymer concrete is important because increase in use of geopolymer concrete leads to reduction in use of regular cement concrete and ultimately production of cement. Also the fly ash and ground granulated blast furnace slag is used and the problem of dumping of these materials ultimately gets solved

Survey Of Ultrasonic Data Compression Methods

In ultrasonic data compression, large amount of data will require in medical and industrial application. The is a successive parameter estimation algorithm with modified version continuous wavelet transform is used to compress and denoise ultrasonic signals.CWT is representation of time × frequency. It will give better result for time of arrival and center frequency. Modified version of CWT is based on Gabor helstrom transform which will exactly estimate both time of arrival andcenter frequency

Image Texture Classification: Surf with Svm

Nowadays, various approaches of texture classification have been developed which works on acquiredimagefeatures and separate them into different classes by using a specificclassifier. This paper gives a state-of-the-arttextureclassificationtechnique called Speeded up Robust Features (SURF) with SVM(Support Vector Machine)classifier. In this concept, image data representation is accomplished by capturing features in the form of key-points. SURF uses determinant of Hessian matrix to achieve point of interests on which description and classification is carried out.This method gives superiorperformance over already established methods in terms of processing time,accuracy and robustness. In this paper, we have taken UMD datasetfor processingand calculated different performance parameters which gives excellent results

Detection And Removal Of Shadow Using Object Oriented Technique

In high resolution images, there is loss of information because of traditional pixel level shadow detection method. Here present object oriented technique which can automatically detect and remove shadows from satellite images. In this method, for image segmentation image parameters are used. Threshold values are used for the separation of shadow region. From this shadow will bedetected. Some dark objects are known as false shadows. These false shadows are rules out according to object properties and spatial relationship between objects. For shadow removal morphological operation inner outer outline profile line (IOOPL) is used.Using homogeneous section over each object shadow will be removed. Homogeneous sections are attained through IOOPL similarity matching. This is effective method foe detection and removal shadow from urban high resolution remote sensing images

Experimental and comparatively study of concrete by using bagasse ash and crushed aggregate

In this work we have to study the properties of conventional concrete & moderate concrete by the replacement of cement by bagasse ash & natural sand by crushed aggregate. In this the cement will be replaced by 10%, 20%, & 30% by bagasse ash & aggregate by 100% of natural sand. Fresh concrete tests like compaction factor test and slump cone test were undertaken along with hardened concrete tests like compressive strength, split tensile strength. The result shows that bagasse ash can be a suitable replacement to cement & crushed aggregate can be a suitable replacement for natural sand & it should be economical as well as light weight