Abstract-Association rules mining in large databases is a core topic of data mining. Discovering these associations is beneficial to the correct and appropriate decision made by decision makers. Discovering frequent item sets is the key process in association rule mining. One of the challenges in developing association rules mining algorithms is the extremely large number of rules generated which makes the algorithms inefficient and makes it difficult for the end users to comprehend the generated rules. In this paper we proposed efficient fuzzy association rule mining technique to find all co-occurrence relationships among data items. The proposed method which allows considerably reduced the search space with discover the frequent item set and finding fuzzy sets for quantitative attributes in a database and finally employs techniques for mining of Fuzzy Associate Rules Mining (FARM).
In this paper we have analytic survey on various techniques of image steganography, these technique are paying their role more efficiently to establish secure communication in more effective way, these idea work on various pattern, text and images also and help to hide confidential matter or information sharing in a newly created steganography techniques. Some latest invented steganography ideas on image with their advantages and disadvantages are disclosing though this analytic survey. It is basically a growing technique of confidentiality in various aspects of safe and confidential communication.
The purpose of steganography is to communicate secret messages between the sender and intended recipient in such a way that no one suspects the very existence of the message. The techniques aim to protect the secret information from third parties by embedding them into other information such as text, audio signals, images, and video frames. In this paper we propose a novel approach of hiding secret messages in multiple images (a cover image)using run length encoding and LSB techniques and communicate the message to intended person over the communication channel by transmitting individual images.Experiments are performed on a set of color images and performance of the proposed system is presented.
Images of the outdoor scene appear hazy due to degradation occurred by atmospheric particles (water droplets, dust, etc.) while capturing the image. Hazing creates lots of problem in the areas of surveillance, tracking and navigation and other applications. Dehazing such images is desired in digital photography and computer vision. Thus, to remove it from an image, single image and multiple images defogging methods have been proposed in the literature. In this paper, we present a single image dehazing approach using haze veil analysis. Contrast limited histogram equalization (CLAHE) technique is used to improve the contrast of the image. The proposed method has been evaluated on different foggy/hazy images. The proposed system yielded better results in terms of preserving the finer details and the color quality of the images.
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