This paper presents a new technique for classification of data. Artificial Immune System is the b... more This paper presents a new technique for classification of data. Artificial Immune System is the best technique to classify the data. Three main algorithms came under Artificial Immune System are-(1) Clonal selection algorithms (CLONALG), (2) Negative selection algorithms (NSA), (3) Artificial immune networks (AINE). Negative selection algorithms is one of the best technique to classify the data. NSA works in two phases Training and Testing. Training is an optimization task so it is required to get the optimal value. In tradition training process NSA have some drawbacks like local minima and computational complexity. So to overcome this problem optimized data is to be used. Many optimization algorithms have been investigated, Artificial Bee Colony (ABC) optimization algorithm is one of the best algorithm. The proposed hybrid ABC and NSA can be applied to improve the global convergence behavior of the algorithm.The experimental results focus on Iris dataset plant and show that the proposed algorithm is more effective in classification of iris dataset when compared with other approaches. This method is more effective for random search and an effective hybridized method for artificial immune system optimization problem.
The inspiration of framing the artificially developed immune system (AIS) is done through the bio... more The inspiration of framing the artificially developed immune system (AIS) is done through the biological immune system which compromise of signified information processing and self-adapting system. Since it originated in the 1990s, the branch of AIS gets a significant success in the field of Computational Intelligence. Present paper insights major works in the area of AIS and explore current advancements in applied system since past years. It has been observed that the particular research focused on three major considerable algorithms of AIS: (1) clonal selection algorithms (2) negative selection algorithm (3) artificial immune networks. However, computer scientists and engineers are motivated by the biological immune system to evolve new models and problem solving approaches. Developed AIS applications in extensive amount have received a lot of researcher's attention who were planning to establish models based on immune system and techniques in order to provide solutions for complicated problems of engineering. This paper presents a survey of current models of AIS and its algorithms.
International Journal of Computer Applications, 2016
Sharing images might prompt presentation of individual data and security breach. This collected d... more Sharing images might prompt presentation of individual data and security breach. This collected data can be misused by unsafe clients. To anticipate such sort of undesirable acknowledgement of individual images, adaptable security settings are required. Recently, such security settings are made accessible and keeping up these measures is a cloudy and error inclined procedure. In this manner, suggestion framework is required which supply client with an adaptable help for organizing security settings in much easier way. This paper includes the survey on different studies on privacy preserving for sharing images over social networking sites.
International Journal of Computer Applications, 2016
As we move into the third decade of the World Wide Web (WWW), there has been a vast change in the... more As we move into the third decade of the World Wide Web (WWW), there has been a vast change in the availability of online information. Discovering information has never been more mechanized as of now, just a mouse click away. The objective of Opinion Mining can be achieved by executing a cluster of search results based on the features and quality for a given item. For rating the product and providing opinions, examination of customer evaluation is most significant-which is a challenging problem. Thus in the above context this paper attempts to discuss about the techniques and tools used by the opinion mining.
International Journal of Computer Applications, 2015
A Recommender System (RS) is a composition of software tools and machine learning techniques that... more A Recommender System (RS) is a composition of software tools and machine learning techniques that provides valuable piece of advice for items or services chosen by a user. Recommender systems are currently useful in both the research and in the commercial areas. Numerous approaches have been proposed for providing recommendations. Certainly, recommendation systems have an assortment of properties that may entail experiences of user such as user preference, prediction accuracy, confidence, trust, etc. In this paper we present a categorical reassess of the field of recommender systems and Approaches for Evaluation of Recommendation System to propose the recommendation method that would further help to enhance opinion mining through recommendations.
International Journal of Computer Applications, 2011
Higher educational institutions (HEIs) create and apply knowledge during their processes and acti... more Higher educational institutions (HEIs) create and apply knowledge during their processes and activities. The growth in the number of HEIs in India in the last decade has increased competition and the pressures for performing better. This has forced the institutions to recognize the need for knowledge management (KM) initiatives which is a key asset. The purpose of the paper is to emphasize the need for knowledge management in higher educational institutions and to examine the impact of information technology (IT) based KM intervention. The paper explores the various the functional domains in HEIs and the indicators that determine these domains. The authors have evaluated the functional domains for IT based KM intervention and identified the perceived benefits. In order to reinforce the results, the authors have proposed a conceptual framework for the efficient capture, encapsulation, structuring, dissemination and employment of the organizational knowledge towards the organizational goals and objectives. If the framework is implemented, the authors feel it will result in enhanced transformation of organizational knowledge into decision making and actions.
Higher educational institutions (HEIs) create and apply knowledge during their processes and acti... more Higher educational institutions (HEIs) create and apply knowledge during their processes and activities. The growth in the number of HEIs in India in the last decade has increased competition and the pressures for performing better. This has forced the institutions to recognize the need for knowledge management (KM) initiatives which is a key asset. The purpose of the paper is to emphasize the need for knowledge management in higher educational institutions and to examine the impact of information technology (IT) based KM intervention. The paper explores the various the functional domains in HEIs and the indicators that determine these domains. The authors have evaluated the functional domains for IT based KM intervention and identified the perceived benefits. In order to reinforce the results, the authors have proposed a conceptual framework for the efficient capture, encapsulation, structuring, dissemination and employment of the organizational knowledge towards the organizational goals and objectives. If the framework is implemented, the authors feel it will result in enhanced transformation of organizational knowledge into decision making and actions.
This paper presents a new technique for classification of data. Artificial Immune System is the b... more This paper presents a new technique for classification of data. Artificial Immune System is the best technique to classify the data. Three main algorithms came under Artificial Immune System are-(1) Clonal selection algorithms (CLONALG), (2) Negative selection algorithms (NSA), (3) Artificial immune networks (AINE). Negative selection algorithms is one of the best technique to classify the data. NSA works in two phases Training and Testing. Training is an optimization task so it is required to get the optimal value. In tradition training process NSA have some drawbacks like local minima and computational complexity. So to overcome this problem optimized data is to be used. Many optimization algorithms have been investigated, Artificial Bee Colony (ABC) optimization algorithm is one of the best algorithm. The proposed hybrid ABC and NSA can be applied to improve the global convergence behavior of the algorithm.The experimental results focus on Iris dataset plant and show that the proposed algorithm is more effective in classification of iris dataset when compared with other approaches. This method is more effective for random search and an effective hybridized method for artificial immune system optimization problem.
The inspiration of framing the artificially developed immune system (AIS) is done through the bio... more The inspiration of framing the artificially developed immune system (AIS) is done through the biological immune system which compromise of signified information processing and self-adapting system. Since it originated in the 1990s, the branch of AIS gets a significant success in the field of Computational Intelligence. Present paper insights major works in the area of AIS and explore current advancements in applied system since past years. It has been observed that the particular research focused on three major considerable algorithms of AIS: (1) clonal selection algorithms (2) negative selection algorithm (3) artificial immune networks. However, computer scientists and engineers are motivated by the biological immune system to evolve new models and problem solving approaches. Developed AIS applications in extensive amount have received a lot of researcher's attention who were planning to establish models based on immune system and techniques in order to provide solutions for complicated problems of engineering. This paper presents a survey of current models of AIS and its algorithms.
International Journal of Computer Applications, 2016
Sharing images might prompt presentation of individual data and security breach. This collected d... more Sharing images might prompt presentation of individual data and security breach. This collected data can be misused by unsafe clients. To anticipate such sort of undesirable acknowledgement of individual images, adaptable security settings are required. Recently, such security settings are made accessible and keeping up these measures is a cloudy and error inclined procedure. In this manner, suggestion framework is required which supply client with an adaptable help for organizing security settings in much easier way. This paper includes the survey on different studies on privacy preserving for sharing images over social networking sites.
International Journal of Computer Applications, 2016
As we move into the third decade of the World Wide Web (WWW), there has been a vast change in the... more As we move into the third decade of the World Wide Web (WWW), there has been a vast change in the availability of online information. Discovering information has never been more mechanized as of now, just a mouse click away. The objective of Opinion Mining can be achieved by executing a cluster of search results based on the features and quality for a given item. For rating the product and providing opinions, examination of customer evaluation is most significant-which is a challenging problem. Thus in the above context this paper attempts to discuss about the techniques and tools used by the opinion mining.
International Journal of Computer Applications, 2015
A Recommender System (RS) is a composition of software tools and machine learning techniques that... more A Recommender System (RS) is a composition of software tools and machine learning techniques that provides valuable piece of advice for items or services chosen by a user. Recommender systems are currently useful in both the research and in the commercial areas. Numerous approaches have been proposed for providing recommendations. Certainly, recommendation systems have an assortment of properties that may entail experiences of user such as user preference, prediction accuracy, confidence, trust, etc. In this paper we present a categorical reassess of the field of recommender systems and Approaches for Evaluation of Recommendation System to propose the recommendation method that would further help to enhance opinion mining through recommendations.
International Journal of Computer Applications, 2011
Higher educational institutions (HEIs) create and apply knowledge during their processes and acti... more Higher educational institutions (HEIs) create and apply knowledge during their processes and activities. The growth in the number of HEIs in India in the last decade has increased competition and the pressures for performing better. This has forced the institutions to recognize the need for knowledge management (KM) initiatives which is a key asset. The purpose of the paper is to emphasize the need for knowledge management in higher educational institutions and to examine the impact of information technology (IT) based KM intervention. The paper explores the various the functional domains in HEIs and the indicators that determine these domains. The authors have evaluated the functional domains for IT based KM intervention and identified the perceived benefits. In order to reinforce the results, the authors have proposed a conceptual framework for the efficient capture, encapsulation, structuring, dissemination and employment of the organizational knowledge towards the organizational goals and objectives. If the framework is implemented, the authors feel it will result in enhanced transformation of organizational knowledge into decision making and actions.
Higher educational institutions (HEIs) create and apply knowledge during their processes and acti... more Higher educational institutions (HEIs) create and apply knowledge during their processes and activities. The growth in the number of HEIs in India in the last decade has increased competition and the pressures for performing better. This has forced the institutions to recognize the need for knowledge management (KM) initiatives which is a key asset. The purpose of the paper is to emphasize the need for knowledge management in higher educational institutions and to examine the impact of information technology (IT) based KM intervention. The paper explores the various the functional domains in HEIs and the indicators that determine these domains. The authors have evaluated the functional domains for IT based KM intervention and identified the perceived benefits. In order to reinforce the results, the authors have proposed a conceptual framework for the efficient capture, encapsulation, structuring, dissemination and employment of the organizational knowledge towards the organizational goals and objectives. If the framework is implemented, the authors feel it will result in enhanced transformation of organizational knowledge into decision making and actions.
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Papers by Mamta Bhusry