Rengeswaran (134 resultados)

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Paperback or Softback. Condición: New. A study on network intrusion detection using classifiers. Book.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research Paper (undergraduate) from the year 2019 in the subject Computer Science - Applied, VIT University, language: English, abstract: In these days of rising internet usage, almost everyone has access to the internet. It is available easily and readily. So along with increase in popularity and importance it also leads to an increase in risks and susceptibility to unwanted attacks. Networks and servers and more prone to malicious attacks than ever. Cyber security is vital in this age. Lots of organizations now interact and communicate with people via the internet. They store huge amounts of data in their computers or devices connected to the network. This data should only be accessed by authorized members of the organization. It is possible for hackers to gain unauthorized access to this data. A lot of sensitive information is present in the data which might lead to harm in the hands of hackers. It is important to protect the network from being attacked in such a way. Network security is an element of cyber security which aims to provide services so that the organizations are safe from such attacks. Intrusion detection systems are present in the network which work along with the firewalls to detect and prevent such attacks. For this project, we aim to identify the suitable machine learning technique to detect such attacks and which can be used in state of the art system.…

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Scientific Essay from the year 2017 in the subject Computer Science - Bioinformatics, grade: 3, , language: English, abstract: This survey aims to analyze a large number of existing methods to biclustering, and classify them in accordance with the methods used to perform the search.DNA microarray aims at extracting useful information that can be applied in medical and biological studies. Clustering is one of the most utilized data mining technique to analyze the gene expression data. Generally, there are subsets of genes that behave similarily or under subsets of conditions. Therefore, biclustering is introduced to identify the subgroups of genes and subgroups of conditions by performing simultaneous clustering of both rows and columns of the gene expression matrix, rather than clustering these two dimensions separately. DNA microarray technologies have made it feasible to monitor transcription levels of tens of thousands of genes in a single expriement. A typical DNA microarray experiment involves a multistep procedure: fabrication of microarrays by fixing properly designed oligonucleotides representing specific genes; hybridization of cDNA populations onto the microarray; scanning hybridization signals and image analysis; transformation and normalization of data; and analyzing data to identify differentially expressed genes as well as sets of genes that are co-regulated.…

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research Paper (undergraduate) from the year 2015 in the subject Computer Science - Bioinformatics, grade: 1, Bannari Amman Institute of Technology, language: English, abstract: Extracting meaningful information from gene expression data poses a great challenge to the community of researchers in the field of computation as well as to biologists. It is possible to determine the behavioral patterns of genes such as nature of their interaction, similarity of their behavior and so on, through the analysis of gene expression data. If two different genes show similar expression patterns across the samples, this suggests a common pattern of regulation or relationship between their functions. These patterns have huge significance and application in bioinformatics and clinical research such as drug discovery, treatment planning, accurate diagnosis, prognosis, protein network analysis and so on.In order to identify various patterns from gene expression data, data mining techniques are essential. Major data mining techniques which can be applied for the analysis of gene expression data include clustering, classification, association rule mining etc. Clustering is an important data mining technique for the analysis of gene expression data. However clustering has some disadvantages. To overcome the problems associated with clustering, biclustering is introduced. Clustering is a global model where as biclustering is a local model. Discovering such local expression patterns is essential for identifying many genetic pathways that are not apparent otherwise. It is therefore necessary to move beyond the clustering paradigm towards developing approaches which are capable of discovering local patterns in gene expression data.Biclustering is a two dimensional clustering problem where we group the genes and samples simultaneously. It has a great potential in detecting marker genes that are associated with certain tissues or diseases. However, since the problem is NP-hard, there has been a lot of research in biclustering involving statistical and graph-theoretic. The proposed Cuckoo Search (CS) method finds the significant biclusters in large expression data. The experiment results are demonstrated on benchmark datasets. Also, this work determines the biological relevance of the biclusters with Gene Ontology in terms of function.…

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Document from the year 2024 in the subject Computer Sciences - Computational linguistics, grade: 10, VIT University (VIT), course: Computer Science, language: English, abstract: The fake news on social media and various other media is wide spreading and is a mat- ter of serious concern due to its ability to cause a lot of social and national damage with destructive impacts. A lot of research is already focused on detecting it. Here we take three data sets namely ' fake news and real news', 'ISOT' and 'LIAR'. We try to implement six machine learning models on these data sets and trying to find their accu- racy and precision. The models we uses are Decision Tree, Random Forest, Support vector machine, Naive Bayes, KNN and LSTM. WE use tools like python scikit learn and NLP. Python scikit library can be used for feature extraction and textual analysis. We tries to find out which model works best on which data keeping the complexity of the data in mind. We would like to find a perfect model for any of the regional language. But the constrain is the availability of good dataset . So we try to propose a new dataset.…

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Taschenbuch. Condición: Neu. A study on network intrusion detection using classifiers | Balamurugan Rengeswaran | Taschenbuch | 44 S. | Englisch | 2019 | GRIN Verlag | EAN 9783346039132 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu.…

Taschenbuch. Condición: Neu. A Nature Inspired Algorithm for Biclustering Microarray Data Analysis | B. Rengeswaran (u. a.) | Taschenbuch | 48 S. | Englisch | 2018 | GRIN Verlag | EAN 9783668619531 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu. …

Taschenbuch. Condición: Neu. An Approach for Market Segmentation using Customer Pain Points | Balamurugan Rengeswaran | Taschenbuch | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202024259 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Biclustering of Microarray Gene Expression Data : | With Heuristic Approach | Balamurugan Rengeswaran (u. a.) | Taschenbuch | 56 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659746390 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Taschenbuch. Condición: Neu. Parallelization in Traditional Clustering Algorithms | Balamurugan Rengeswaran | Taschenbuch | 52 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139457809 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 52 | Sprache: Englisch | Produktart: Bücher | Clustering is one of the ways to classify and segregate data into clusters or groups based on the similarity between them. But this process can be a very time consuming task. The goal is to reduce the time taken for computation and keep the performance of the algorithm consistent. To achieve this, we parallelize the algorithm such that various independent segments can run concurrently and hence reduce the execution time while giving the same performance.…

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 52 | Sprache: Englisch | Produktart: Bücher | Clustering is one of the ways to classify and segregate data into clusters or groups based on the similarity between them. But this process can be a very time consuming task. The goal is to reduce the time taken for computation and keep the performance of the algorithm consistent. To achieve this, we parallelize the algorithm such that various independent segments can run concurrently and hence reduce the execution time while giving the same performance.…