Yeturu jahnavi (20 risultati)

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Data Classification Using Waikato Environment For Knowledge Analysis | Jahnavi Yeturu | Taschenbuch | 156 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139445936 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Term weighting is a useful technique that extracts important features from textual documents, thereby providing a basis for different Text Mining approaches. The objective of this work is to study the existing term weighting algorithms for feature extraction and to develop an efficient term weighting algorithm for mining salient features from internet based newswire sources. TF\*PDF (Term Frequency \* Proportional Document Frequency) is the most popular term weighting algorithm which extracts influential features from news archives. TF\*PDF satisfies the basic property of the features in news documents i.e., frequency and thus increases the accuracy when compared to other term weighing algorithms such as Binary, TF (Term Frequency), TF-IDF (Term Frequency-Inverse Document Frequency) and its variants. However, only frequency property is not sufficient for salient topic extraction. To overcome that problem, this book presents an innovative and effective term weighting algorithm that considers Position, Scattering and Topicality along with Frequency for extracting short lived and long running events. 136 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Classification is a method of categorizing or assigning class labels to a pattern set under the supervision of a teacher. Classification is also called as supervised learning. The patterns are initially partitioned into training and test sets. Training set is used to train the classifier and the test set is used to evaluate the accuracy of a classifier. WEKA is open source software, which is developed by the University of Waikato in New Zealand. The system is written using object oriented language JAVA. There are different levels at which WEKA can be used. WEKA provides implementation of Data Mining and Machine Learning Algorithms. WEKA Explorer is used for preprocessing, attribute selection, filtering, classification, clustering, association analysis, visualization etc. Experimentation using Waikato Environment for Knowledge Analysis has been performed for classification. 156 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Automata theory is a branch of theoretical computer science that deals with the study of abstract machines and their computational capabilities. It forms the foundation for understanding the limits and possibilities of computation. Formal Languages and Automata Theory is a fundamental branch of theoretical computer science that deals with the study of formal languages, grammars, and automata. These concepts provide a theoretical foundation for understanding the capabilities and limitations of computational systems and play a significant role in the development of programming languages, compilers, and various aspects of computer science. The field extends into more advanced topics such as computational complexity, formal language hierarchies, and the theory of computation. Automata theory is not only important for understanding computation but also has applications in areas like compiler design, software verification, and artificial intelligence. 148 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yeturu JahnaviY. Jahnavi received her BTech from JNTU, MTech from Sri Venkateswara Univeristy, Tirupathi and PhD from GITAM,Visakhapatnam. She qualified GATE, APSET and NET examinations. She is a member of CSI, LMISTE etc. She is cur.…

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Term weighting is a useful technique that extracts important features from textual documents, thereby providing a basis for different Text Mining approaches. The objective of this work is to study the existing term weighting algorithms for feature extraction and to develop an efficient term weighting algorithm for mining salient features from internet based newswire sources. TF\*PDF (Term Frequency \* Proportional Document Frequency) is the most popular term weighting algorithm which extracts influential features from news archives. TF\*PDF satisfies the basic property of the features in news documents i.e., frequency and thus increases the accuracy when compared to other term weighing algorithms such as Binary, TF (Term Frequency), TF-IDF (Term Frequency-Inverse Document Frequency) and its variants. However, only frequency property is not sufficient for salient topic extraction. To overcome that problem, this book presents an innovative and effective term weighting algorithm that considers Position, Scattering and Topicality along with Frequency for extracting short lived and long running events.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yeturu JahnaviY. Jahnavi received her BTech (CSE) from JNTUH, MTech (CSE) from Sri Venkateswara Univeristy, Tirupathi and PhD (CSE) degree from GITAM University, Visakhapatnam. She qualified GATE, APSET and NET examinations. She is c. …

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Classification is a method of categorizing or assigning class labels to a pattern set under the supervision of a teacher. Classification is also called as supervised learning. The patterns are initially partitioned into training and test sets. Training set is used to train the classifier and the test set is used to evaluate the accuracy of a classifier. WEKA is open source software, which is developed by the University of Waikato in New Zealand. The system is written using object oriented language JAVA. There are different levels at which WEKA can be used. WEKA provides implementation of Data Mining and Machine Learning Algorithms. WEKA Explorer is used for preprocessing, attribute selection, filtering, classification, clustering, association analysis, visualization etc. Experimentation using Waikato Environment for Knowledge Analysis has been performed for classification.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Automata theory is a branch of theoretical computer science that deals with the study of abstract machines and their computational capabilities. It forms the foundation for understanding the limits and possibilities of computation. Formal Languages and Auto.…

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Automata theory is a branch of theoretical computer science that deals with the study of abstract machines and their computational capabilities. It forms the foundation for understanding the limits and possibilities of computation. Formal Languages and Automata Theory is a fundamental branch of theoretical computer science that deals with the study of formal languages, grammars, and automata. These concepts provide a theoretical foundation for understanding the capabilities and limitations of computational systems and play a significant role in the development of programming languages, compilers, and various aspects of computer science. The field extends into more advanced topics such as computational complexity, formal language hierarchies, and the theory of computation. Automata theory is not only important for understanding computation but also has applications in areas like compiler design, software verification, and artificial intelligence.…

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Term weighting is a useful technique that extracts important features from textual documents, thereby providing a basis for different Text Mining approaches. The objective of this work is to study the existing term weighting algorithms for feature extraction and to develop an efficient term weighting algorithm for mining salient features from internet based newswire sources. TF\*PDF (Term Frequency \* Proportional Document Frequency) is the most popular term weighting algorithm which extracts influential features from news archives. TF\*PDF satisfies the basic property of the features in news documents i.e., frequency and thus increases the accuracy when compared to other term weighing algorithms such as Binary, TF (Term Frequency), TF-IDF (Term Frequency-Inverse Document Frequency) and its variants. However, only frequency property is not sufficient for salient topic extraction. To overcome that problem, this book presents an innovative and effective term weighting algorithm that considers Position, Scattering and Topicality along with Frequency for extracting short lived and long running events.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Classification is a method of categorizing or assigning class labels to a pattern set under the supervision of a teacher. Classification is also called as supervised learning. The patterns are initially partitioned into training and test sets. Training set is used to train the classifier and the test set is used to evaluate the accuracy of a classifier. WEKA is open source software, which is developed by the University of Waikato in New Zealand. The system is written using object oriented language JAVA. There are different levels at which WEKA can be used. WEKA provides implementation of Data Mining and Machine Learning Algorithms. WEKA Explorer is used for preprocessing, attribute selection, filtering, classification, clustering, association analysis, visualization etc. Experimentation using Waikato Environment for Knowledge Analysis has been performed for classification.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 156 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Automata theory is a branch of theoretical computer science that deals with the study of abstract machines and their computational capabilities. It forms the foundation for understanding the limits and possibilities of computation. Formal Languages and Automata Theory is a fundamental branch of theoretical computer science that deals with the study of formal languages, grammars, and automata. These concepts provide a theoretical foundation for understanding the capabilities and limitations of computational systems and play a significant role in the development of programming languages, compilers, and various aspects of computer science. The field extends into more advanced topics such as computational complexity, formal language hierarchies, and the theory of computation. Automata theory is not only important for understanding computation but also has applications in areas like compiler design, software verification, and artificial intelligence.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch.…