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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
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;...
Meta-heuristic optimization algorithms are very useful tool for obtaining an optimal solution of engineering optimization problems. Bat Algorithm (BA) is one of the recent meta-heuristic algorithms. It has been claimed to be superior to its counter parts. On the other hand LabVIEW™ is a versatile software tool being utilized for measurement and control applications in various engineering domains worldwide...
A bare PCB is PCB without any component mounted on it. PCB plays a significant role on the performance of various electronic products. So, there is requirement of fast & quantitative assessment. Since the manual inspection system is unreliable and time consuming, automatic optical inspection method is used. This paper presents an algorithm mainly having two parts, one is image enhancement and...
MapReduce is a programming model specifically developed for the management and processing of “Big Data” — extremely large amounts of data that expects high level of analyzing capabilities. With every passing day volumes of data is generated and collected from multiple data resources across the planet. This data must be analyzed in the sense of volume or speed of data moving to and from the data management...
Texture segmentation is one of the most challenging problems in the field of image segmentation. Segmenting multi-textured image into different classes of textured region with a minimum rate of misclassification is a challenging issue. This paper proposes a framework for improving misclassification rate by using ICA for designing filter bank and Ant Tree Clustering algorithm, inspired by the self...
The increasing number of e-commerce and social networking sites are producing large amount of data pertaining to reviews of a product, restaurant etc. A keen observation reveals that the text data gathered from any social review site are specific to a context and are subjective in nature promoting varied perceptions of sentiments. The novel idea is to define context specific grammar as semantics for...
In this paper we present an enhanced algorithm with modified approach to extricate various Triplets i.e. subject-predicate-object from Natural language sentences. The Treebank Structure and the Typed Dependencies obtained from Stanford Parser are used to elicit multiple triplets from English Sentences. Typed Dependencies represents grammatical connections among the words of any sentence and represents...
Blog, Tweets, or any social networking sites are popularly used weblogs where consumers can broadcast their opinions. It has become a common practise among the users to express their feedback about any product or service. This information in-turn has now become a significant component of the global information. The information provided help's any organization to keep track of the user's opinion about...
To retrieve all recurrence of the pattern in offline text, pattern searching techniques are used. Two processes would be carried out in our approach, first process would be preprocessing and second process would be searching process. Pattern searching algorithms consists of problems with searching space and time overhead. The efficiency of proposed algorithm is improved by adopting binary search tree...
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 from...
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 consideration...
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 detection...
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