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71 articles for “redundancy”
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An Ontology-Based Learnable Focused Crawler using Hybrid Latent Semantic Indexing In Data Mining
Abstract: In this paper, we proposed an ontological model of an information system that provides precise definitions of fundamental concepts like Query, Sub-query, and Coupling. Queries are mapped to this space with documents being retrieved based on similarity model. In this Research, OLC (Ontological Semantic Indexing) Performance in document retrieval is investigated and compared with traditional term matching techniques with the help of LSI, LUD, CHOLSKEY Transform, Natural language processing to …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 11–17 Read article
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Knowledge discovery in software defect datasets using learning algorithms
Abstract: In this paper, the learning impact on various classification models were studied which were built using binary class-imbalanced data. Before the learning process, some preprocessing techniques were applied to training datasets for removing the redundancy. Nowadays feature selection and sampling techniques become an essential tool for many data mining task because learning algorithms do not perform well with defective datasets, dimensionality reduction problem arises. Sampling technique is also used to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 18–26 Read article
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A Review of Code Defect Likelihood Using ML Methods
Abstract: AbstractSoftware begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 1–6 Read article
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Financial Forecast: Systematic Analysis Using Principal Component Analysis
Abstract: The most popular technique for data exploration and analysis across all scientific disciplines that can influence the classification model's accuracy is principal component analysis (PCA). In this study, the high dimensionality of the stock market is examined in order to forecast market movements using PCA in conjunction with linear regression. While reducing data redundancy, PCA can aid in enhancing the predictive performance of machine learning techniques. The New York Stock …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 2, 2022 · pp. 18–24 Read article
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Adaptive Huffman Algorithm for Data Compression Using Text Clustering and Multiple Character Modification
Abstract: Adaptive Huffman algorithm is a popular data compression technique that creates a variable-length binary code for each symbol in a message. However, the original algorithm may not be efficient in compressing text data, particularly when dealing with long sequences of repeated characters. In this study, we propose a novel approach to enhance the compression ratio of the Adaptive Huffman algorithm by utilizing text clustering and multiple character modification. The proposed …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 30–40 Read article
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Design and Implementation of Improved Image Compression Algorithm using Hybrid Approach of DWT, DCT and SVD
Abstract: In today’s digital world, the latest technology is being developed in field of communication, network, digital data storage, etc. Use of internet is increased rapidly in world of business and profession. A study conducted by research says that 1.1 billion people have regular web access and use application like electronic mail, instant messaging, social networking, online messaging etc. which, helps in growth and knowledge sharing in different domains such as …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 2, 2017 · pp. 1–5 Read article
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Experimental Study on Radiation Immunity of In-House Developed WSN Nodes
Abstract: Wireless sensor networking (WSN) technology is gaining importance in nuclear industry and its related applications. This wider acceptance of WSN can be attributed to its easy and fast deployment, reduction in cable cost, increase of system redundancy in critical applications of nuclear reactor and ease of maintenance of rotating equipment. A WSN node deployed in and around nuclear reactor may encounter gamma radiation dose, especially during some accidental conditions. Thus, …
Published in Recent Trends in Sensor Research & Technology · Vol. 3, Issue 3, 2016 · pp. 27–35 Read article
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Ethics and Research Integrity
Abstract: Research can be defined as search for knowledge or systematic investigation to establish the truth. Scientific research is application of scientific method, harnessing of curiosity for explaining the nature and properties of the world around us. The role of a scientist is to acquire knowledge by engaging himself in scientific activities. A scientist has more social responsibility. Each scientist does not behave with complete honesty towards present and future scientists, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 3, Issue 1, 2013 · pp. 8–15 Read article
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Regulation of Gene Expression by Phytochrome
Abstract: AbstractThis review deals with the mechanism of Phytochrome action in regulating the expression of other genes. The PhyA and PhyB genes have the overlapping roles or there must be another Phytochrome species which are involved in the Phytochrome induction of CAB expression in these etiolated seedlings when they are exposed to red light. Double mutation of PhyA and PhyB potentially lowered the level of CAB mRNA in etiolated seedlings of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 3, Issue 1, 2014 · pp. 20–28 Read article
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Dimensionality Reduction: A Brief Survey on Its Myriad Techniques
Abstract: This paper is a short survey and analysis on different techniques and methods using which efficiency of existing techniques can be improved which are used for data exploration, or search for those features which has deeper relationship amongst the variable, which relies on greater extent on visual methods. However, for multidimensional data set with real time data collected captured using sensors or real time applications, redundant and unused or wanted …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 46–51 Read article
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Modulation of Receptor Proteins: A Recent Paradigm in Drug Discovery and Target
Abstract: The main aim in drug discovery is to design different ligands those work on specific drug targets. However, various effective drugs work through the modulation of many proteins than single target. Advancement in system biology are establishing a phenotypic strength and a network structure, which suggests that, the excellent selective compounds may be performed less than desired clinical efficacy in comparison to multi-target drugs. In this new appreciation of the …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 14–24 Read article