ENGINEERING RESEARCH PAPERS

image mining 2016 IEEE PAPER




A Study on Image Mining; Its Importance and Challenges
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Abstract: Image mining is an interdisciplinary field that is based on specialties such as machine vision, image processing, image retrieval, data mining, machine learning, databases and artificial intelligence. Although many studies have been conducted in each

IMAGE MINING USED SEGMENTATION TECHNIQUE MRI SCAN BRAIN TUMOR IMAGES ANALYSIS (IMUSA)
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Abstract: Tumor segmentation from MRI image is important part of medical images experts. This is particularly a challenging task because of the high assorting appearance of tumor tissue among different patients. MRI images are advance of medical imaging because it is

IMAGE MINING CLASSIFICATION MRI SCAN USED BRAIN TUMOR ANALYSIS (IMICLA)
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Abstract-A brain tumor occurs appropriate to an anomalous intensification of compartments that have produce offspring in an uninhibited approach. whilst regular compartments nurture elderly otherwise acquire indignant, moreover experience compartment decease

Image Mining Brain Tumor Detection using Tad Plane Volume Rendering from MRI (IBITA)
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ABSTRACT: In this onslaught, a effort has been prepared to encapsulate the information about the brain tumor and an Sushisen algorithm using BRATS 2016 for primary detection of the brain tumor location with the help of image mining. There are different scanning

Diabetic Retinopathy Analysis using Image Mining to Detect Type 2 Diabetes
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ABSTRACT Diabetes is the leading cause of deaths in various developing countries, many techniques have been proposed using image processing methods and data mining technology for the same. Type 2 diabetes can be detected by various methods one of

Enhanced of Image Mining Techniques the Classification Brain Tumor Accuracy (ENCEPHALON)
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Abstract: Image Mining is growing modernly outstanding to its wide applications. An efficient MRI image segmentation is needed at present. In this paper, MRI Brain segmentation is done by Semi supervised learning which does not require pathology modeling and, thus,

Novel Approach for Steganography Using Image Processing DWT and DataMining ID3 Algorithm
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Abstract: The Feature of information hiding has received much attention in the recent years as security of information has become a big concept in this internet era. As sharing of delicate data by means of a typical correspondence channel has ended up inescapable,

Implemetation Text Mining of Different Image Formats in a Document-Based NOSQL Database
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Abstract: Big data is a popular term which is used to describe a massive volume or exponential growth in both structured and unstructured data. Day by day extreme growth in the data consumption of large space in databases has been seen. As most of the work has

PERFORMANCE ANALYSIS OF DATA MINING ALGORITHMS FOR MEDICALIMAGE CLASSIFICATION
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Abstract-Image mining is one of the predominant researches in computer science field. It is a process of extracting valuable information from a huge amount of dataset. In image mining, there are several techniques are adopted such as image classification, image clustering,

Semantic-Based Web Mining For Image Retrieval Using Enhanced Support Vector Machine
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Abstract This paper deals with the semantic-based web mining for image retrieval by means of enhanced Support Vector Machine (SVM). Generally, conventional Content-Based Image Retrieval (CBIR) systems are unsuccessful to satisfy users' requirement because of the '

A Secured Approach to Hide Image on Video Using DCT and ID3 Algorithm of Data Mining
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Abstract: With the development of Communication media and Internet, the need to hide the secret data has also increased. One of the secured ways is Steganography that is the art to hide the secret data behind text, image or video and also hide the fact that any secret data

A Comparative Study on Content Based Image Retrival Using Data MiningAlgorithms
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Abstract: Content-based image retrieval (CBIR) is a technique for retrieving images on the basis of automatically-derived features such as color, texture and shape. Our findings are based both on a review of the relevant literature and on discussions with researchers in

THE ENVIRONMENTAL IMPACT FACTOR OF LUNG CANCER DISEASE DETECTION (LCDD) USING IMAGE MINING AMONG NON-SMOKERS
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Abstract: Image mining is primarily used to the requirements of finding the various applications in diverse fields such as retail, financial, communication, marketing organizations and medicine, for Improve the detection of disease in the medical field

Using Image Mining Techniques For Optimizing The Treatment Methods Of Lung Cancer
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Abstract:Lung cancer is a disease of uncontrolled cell growth in tissues of the lung. Lung cancer is the most critical reason for death, but there is a big chance for the patient to be cured if he or she is correctly diagnosed in early stage of his or her case. Medical chest

Feature Extraction Techniques for Image Retrieval Using Data Mining andImage Processing Techniques
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Abstract: Image mining is advancement in the field of data mining, in the domain of Image processing. Image mining is the additional pattern which is quite not clearly visible in the image, association of image data and extraction of hidden data. This field is interrelated

Image Mining Techniques For Efficient Searching of Images from Internet
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ABSTRACT Modern developments in the field of technology have made transmitting, storing, retrieval of huge amount of data much more affordable than ever before that too in an efficient way. Data mining techniques is a part of that revolution. Data mining simply refers

Image Mining for Mammogram Classification to detect breast cancer by Association Reverse Rule Using Statistical and GLCM features
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Abstract-The image mining technique deals with the extraction of implicit knowledge and image with data relationship or other patterns not explicitly stored in the images. It is an extension of data mining to image domain. The main objective of this paper is to apply

Image Classification using Data Mining Techniques
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Abstract:Data Mining and Knowledge Discovery is an emerging field of research that have been attracting many researchers to extract meaningful pieces of information from the dataset. Image Analysis and Knowledge Discovery from an Image is also taking the front

Comparative study of image retrieval methods for mining user queries
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Abstract:Image retrieval is most important concept nowadays. When user provides a query in the form of keywords or in the form of image then system provides similar kind of images according to user queries. When database is very large then to deal with such database is

Detection of Lung Cancer through Image Data Mining Techniques-A Survey
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ABSTRACT According to World Health Organization stated that, 7.6 million deaths globally each year are caused by cancer. Cancer represents 13% of all global deaths. National Cancer Institute stated that, by the end of 2015 there will be 221,200 new lung cancer

Implementation of Secure Data Mining Approach in Cloud using ImageEncryption
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ABSTRACT The continuous development of cloud computing is giving way to more cloud services, due to which security of cloud services, especially data privacy protection, becomes more critical. This research work explores the basic features of data mining

Product Image Search with Deep Attribute Mining and Re-Ranking
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Abstract. With the high-growing of e-commerce, more and more users have changed to buy from websites rather than in stores. To deal with mass products, the traditional text-based product search has become incompetent to meet use's requirement. In this paper, we

Hyper spectral Image processing for Forest types Mapping and forest health monitoring: A case study in the buffer zones of iron mining belts of Saranda forest,
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Abstract–Hyperspectral remote sensing is a very useful tool for forest health mapping, different forest types and also for natural resource management. In this work, the NASA-EO1 Hyperion sensor data is used for forest type and forest health monitoring for a case study

Mining and Classifying Image Posts on Social Media to Analyse Fires
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ABSTRACT We propose a methodology to study the occurrence of fires through image posts on Flickr; crowd-sourcing information from a noisy social media dataset can estimate the presence of fires. We collect several years worth of photos and associated metadata using

A Novel Technique of Sentiment Analysis by Sandwich of Data Mining andImage Processing
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Abstract: When a text is accessible in a digital format, it is a task in the field of text mining to accurately predict the sentiment of a text or the intention with which the text was written. In this paper, we are trying to develop a system that will analyse the intention with which a

Commonsense in Parts: Mining Part-Whole Relations from the Web and ImageTags
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Abstract Commonsense knowledge about part-whole relations (eg, screen partOf notebook) is important for interpreting user input in web search and question answering, or for object detection in images. Prior work on knowledge base construction has compiled part-whole



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