International Conference on Computing, Communication & Automation

15-16 May 2015

Filter Results

Displaying Results 1 - 25 of 265
  • Advisory committee

    Publication Year: 2015, Page(s): 1
    Request permission for commercial reuse | |PDF file iconPDF (20 KB)
    Freely Available from IEEE
  • Author index

    Publication Year: 2015, Page(s):1 - 6
    Request permission for commercial reuse | |PDF file iconPDF (937 KB)
    Freely Available from IEEE
  • Content

    Publication Year: 2015, Page(s):1 - 12
    Request permission for commercial reuse | |PDF file iconPDF (2404 KB)
    Freely Available from IEEE
  • [Copyright notice]

    Publication Year: 2015, Page(s): 1
    Request permission for commercial reuse | |PDF file iconPDF (886 KB)
    Freely Available from IEEE
  • [Title page]

    Publication Year: 2015, Page(s): 1
    Request permission for commercial reuse | |PDF file iconPDF (2961 KB)
    Freely Available from IEEE
  • Organising commitee

    Publication Year: 2015, Page(s): 1
    Request permission for commercial reuse | |PDF file iconPDF (24 KB)
    Freely Available from IEEE
  • Preface

    Publication Year: 2015, Page(s): 1
    Request permission for commercial reuse | |PDF file iconPDF (1371 KB) | HTML iconHTML
    Freely Available from IEEE
  • Technical programm committee

    Publication Year: 2015, Page(s):1 - 11
    Request permission for commercial reuse | |PDF file iconPDF (456 KB)
    Freely Available from IEEE
  • EmotionFinder: Detecting emotion from blogs and textual documents

    Publication Year: 2015, Page(s):52 - 57
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (687 KB) | HTML iconHTML

    Emotion Detection is one of the most emerging issues in human machine interaction. Detecting emotional state of a person from textual data is an active research field along with recognizing emotions from facial and audio information. Several methods were given to recognize emotion from text in previous years. This paper proposed a new architecture (a keyword based approach) to recognize emotions f... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Aspect level sentiment analysis to distil scrupulous opinionated result

    Publication Year: 2015, Page(s):59 - 65
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (362 KB) | HTML iconHTML

    Opinion Mining and Sentiment Analysis is a procedure in which first opinions are recognized in vast set of organized/ unorganized data; and then polarity of those opinions is examined. The algorithm proposed in the paper is implemented using the aspect level sentiment analysis. The paper works on a case study that takes as input reviews given by various professors of the student under consideratio... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Detection rate analysis for user to root attack class using correlation feature selection

    Publication Year: 2015, Page(s):66 - 71
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (215 KB) | HTML iconHTML

    Intrusion detection system (IDS) research field has grown tremendously in the past decade. Improving the detection rate of user to root (U2R) attack classes is an open research problem. Current IDS uses all data features to detect intrusions. Some of the features may be redundant to the detection process. The purpose of this empirical study is to identify important features to improve the detectio... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Efficient heart disease prediction system using decision tree

    Publication Year: 2015, Page(s):72 - 77
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (352 KB) | HTML iconHTML

    Cardiovascular disease (CVD) is a big reason of morbidity and mortality in the current living style. Identification of Cardiovascular disease is an important but a complex task that needs to be performed very minutely, efficiently and the correct automation would be very desirable. Every human being can not be equally skillful and so as doctors. All doctors cannot be equally skilled in every sub s... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Analytical study of heart disease prediction comparing with different algorithms

    Publication Year: 2015, Page(s):78 - 82
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (197 KB) | HTML iconHTML

    In data mining there are several ways, approaches to predict any disease and different researches are still going on. In this survey, we have studied several algorithms (like genetic algorithm, Particle Swarm Optimization, Artificial Neural Network) which play very essential role in determining or predicting heart disease. Here we firstly describe the basic concepts of these three algorithms, and ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Developmental pattern analysis and age prediction by extracting speech features and applying various classification techniques

    Publication Year: 2015, Page(s):83 - 87
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (297 KB) | HTML iconHTML

    In speech development research, it's important to know how speech acoustic features vary as a function of age and the age when the variability and magnitude of acoustic features start to exhibit adult-like patterns. During the first few years of life, a child's speech changes from the cries and babbles of an infant to adult-like words and phrases of a young child. A number of acoustic studies obse... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Automatic classification of movie trailers using data mining techniques: A review

    Publication Year: 2015, Page(s):88 - 94
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (631 KB) | HTML iconHTML

    Nowadays huge amount of data is generated through various activities. To manage the data in proper format and the way it is to be maintained. There are so many ways to maintain the data. Classification of data is done so as to identify and put that data in different classes. It is nothing but to group that data in different classes and retrieve as and when it is required with ease. The classificat... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Implicit behavior addition for improving recommendations

    Publication Year: 2015, Page(s):95 - 99
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (536 KB) | HTML iconHTML

    Recommender system is used in e-commerce websites. An e-commerce website should capture the customer's preferences at best to recommend her well. The core area around which a recommender system is build is user profiling. Researchers and industry professionals are working in the direction of user profiling to improve the recommendations. This paper is an attempt to closely study the impact of addi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Hierarchical approach for scientific document classification

    Publication Year: 2015, Page(s):100 - 104
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (399 KB) | HTML iconHTML

    Classification is the grouping of information or objects in predefined labeled categories based on similarities. Exponential growth rates of scientific document collection leads to unmanageable manual classification. Feature extraction is the central prerequisite of automatic document classification. TF-IDF (term frequency-inverse document frequency) is commonly used to express the text feature we... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Clustering analysis for large scale data sets

    Publication Year: 2015, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (186 KB) | HTML iconHTML

    The real-world big data can be clustered along desired dimensions but it is limited in its applicability to large-scale problems due to its high computational complexity, user's desire, number of dimensions etc. Recently, many approaches have been proposed to accelerate the large scale data clustering. Unfortunately, these methods usually sacrifice quite a lot of information of the original data; ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Text document clustering on the basis of inter passage approach by using K-means

    Publication Year: 2015, Page(s):110 - 113
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (163 KB) | HTML iconHTML

    Document clustering usually deals with clustering of documents that revolve around a single topic. To achieve more efficient clustering results, it is important to consider the fact that a document may deal with more than one topic. Our research work proposes a new inter-passage based clustering technique which will cluster the segment of the documents on the basis of similarities. The input will ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A model for predicting the eligibility for placement of students using data mining technique

    Publication Year: 2015, Page(s):114 - 117
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (296 KB) | HTML iconHTML

    Data mining is widely used for decision making in educational system. One of the most extensively used supervised learning methods i.e. decision tree classifier for data exploration based on divide & conquer technique. This paper discusses use of decision trees in educational data mining. Decision tree algorithms are applied on Company's previous year data to generate the model and this model ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An approach towards big data — A review

    Publication Year: 2015, Page(s):118 - 123
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (324 KB) | HTML iconHTML

    Big Data refer to the analysis of significantly large collection of data that may contain user data, sensor data or machine data. An analyzed Big Data can deliver new business insights, open new markets and create competitive advantages. It consists of data sets that are of large magnitude (Volume), large collection of data which diverse representation include structured, semi structured, or unstr... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Data mining approach for diagnose of anxiety disorder

    Publication Year: 2015, Page(s):124 - 127
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (152 KB) | HTML iconHTML

    Themental disorder is one of the top five reasons for the cause of death in world and suicide is the third leading cause of death among young adults worldwide. Due to the unawareness and social embarrassment, this disease is normally undiagnosed. Study says that one of every four Indians affected by anxiety disorder, out of which 10% depressed. The reasons affecting the mental health of the Indian... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Aural fragment analysis framework pestial on aspect mining

    Publication Year: 2015, Page(s):128 - 132
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (568 KB) | HTML iconHTML

    This Manuscript probe delinquent of classification of uninterrupted of broad-spectrum aural data for content based recovery. This paper is dealing with scheme for classifying aural data & segmentation is also done on same data so that processing rate is faster. Aural data is able to classify into eight categories Simple speech, noise, silence, music single speech with music, double speech with... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Study of dimension reduction methodologies in data mining

    Publication Year: 2015, Page(s):133 - 137
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (183 KB) | HTML iconHTML

    The data mining applications such as bioinformatics, risk management, forensics etc., involves very high dimensional dataset. Due to large number of dimensions, a well known problem of “Curse of Dimensionality” occurs. This problem leads to lower accuracy of machine learning classifiers due to involvement of many insignificant and irrelevant dimensions or features in the dataset. The... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Performance enhancement of classification scheme in data mining using hybrid algorithm

    Publication Year: 2015, Page(s):138 - 141
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (207 KB) | HTML iconHTML

    Data mining has been an active area of research for the past couple of decades. Classification is an important data mining technique that consists of assigning a data instance to one of the several predefined categories. Various successful methods have already been suggested and tested to solve the problems of the classification. In this paper, author proposed a new hybrid classifier by combining ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.