Shylaja s (42 risultati)

Taschenbuch. Condizione: Neu. DATA MINING BASED STREAM MINING APPROACH | A STREAM MINING BASED APPROACH FOR DYNAMIC ENVIRONMENT USING K-MEANS++ ALGORITHM | Shylaja S | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207466627 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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

Condizione: New.

Condizione: New. This comprehensive volume deals in detail with Srilankan (Ceylon) cinnamon, Chinese cassia, Indonesian cassia, Indian cassia, camphor and also the important related and other useful spices of Cinnamomum. Editor(s): Ravindran, P. N.; Babu, K. Nirmal; Shylaja, M. Series: Medicinal and Aromatic Plants - Industrial Profiles. Num Pages: 384 pages, 71 black & white illustrations, 141 black & white tables, 33 black & white halftones. BIC Classification: PST. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 178 x 26. Weight in Grams: 882. . 2003. Hardback. . . . .…

Condizione: New. This comprehensive volume deals in detail with Srilankan (Ceylon) cinnamon, Chinese cassia, Indonesian cassia, Indian cassia, camphor and also the important related and other useful spices of Cinnamomum. Editor(s): Ravindran, P. N.; Babu, K. Nirmal; Shylaja, M. Series: Medicinal and Aromatic Plants - Industrial Profiles. Num Pages: 384 pages, 71 black & white illustrations, 141 black & white tables, 33 black & white halftones. BIC Classification: PST. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 178 x 26. Weight in Grams: 882. . 2003. Hardback. . . . . Books ship from the US and Ireland.…

Taschenbuch. Condizione: Neu. Approche D'exploration De Flux Basée Sur L'exploration De Données | Une Approche Basée Sur L'exploration De Flux Pour Un Environnement Dynamique Utilisant L'algorithme K-means++ | Shylaja S | Taschenbuch | Französisch | 2024 | Editions Notre Savoir | EAN 9786207272273 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Condizione: New.

Taschenbuch. Condizione: Neu. ABORDAGEM DE EXTRACÇÃO DE DADOS BASEADA NA EXTRACÇÃO DE FLUXOS | UMA ABORDAGEM BASEADA NA EXTRACÇÃO DE FLUXOS PARA AMBIENTES DINÂMICOS UTILIZANDO O ALGORITMO K-MEANS++ | Shylaja S | Taschenbuch | Portugiesisch | 2024 | Edições Nosso Conhecimento | EAN 9786207272297 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. APPROCCIO DI DATA MINING BASATO SULLO STREAM MINING | UN APPROCCIO BASATO SULLO STREAM MINING PER UN AMBIENTE DINAMICO UTILIZZANDO L'ALGORITMO K-MEANS++ | Shylaja S | Taschenbuch | Italienisch | 2024 | Edizioni Sapienza | EAN 9786207272310 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. DATA-MINING-BASIERTER STREAM-MINING-ANSATZ | EIN AUF STREAM MINING BASIERENDER ANSATZ FÜR DYNAMISCHE UMGEBUNGEN UNTER VERWENDUNG DES K-MEANS++ ALGORITHMUS | Shylaja S | Taschenbuch | 80 S. | Deutsch | 2024 | Verlag Unser Wissen | EAN 9786207272266 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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

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 88 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Spanisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Clustering is one of the most important technique in data mining. It aims partitioning the data into groups of similar objects. That is refered to as clusters. This research compares the StreamKM++ algorithm with the existing work, such as AP, IAPKM and IAPNA. The StreamKM++ algorithm is a new clustering algorithm from the data stream and itto constructs a good clustering of the stream, using a small amount of memory and time.Many researchers have done their work with static clustering algorithm, but in real time the data is dynamic in nature. Such as blogs, web pages, audio and video, etc., Hence, the conventional static technique doesn't support in real time environment. In this work, the StreamKM++ algorithm is used which achieves high clustering performance over traditional AP, IAPKM and IAPNA. The experimental result shows StreamKM++ algorithm achieves the best result compared with existing work. It has increased the average accuracy rate and reduced the computational time, memory and number of iterations.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The Clustering is one of the most important technique in data mining. It aims partitioning the data into groups of similar objects. That is refered to as clusters. This research compares the StreamKM++ algorithm with the existing work, such as AP, IAPKM and.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Französisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Clustering is one of the most important technique in data mining. It aims partitioning the data into groups of similar objects. That is refered to as clusters. This research compares the StreamKM++ algorithm with the existing work, such as AP, IAPKM and IAPNA. The StreamKM++ algorithm is a new clustering algorithm from the data stream and itto constructs a good clustering of the stream, using a small amount of memory and time.Many researchers have done their work with static clustering algorithm, but in real time the data is dynamic in nature. Such as blogs, web pages, audio and video, etc., Hence, the conventional static technique doesn't support in real time environment. In this work, the StreamKM++ algorithm is used which achieves high clustering performance over traditional AP, IAPKM and IAPNA. The experimental result shows StreamKM++ algorithm achieves the best result compared with existing work. It has increased the average accuracy rate and reduced the computational time, memory and number of iterations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - El clustering es una de las técnicas más importantes de la minería de datos. Su objetivo es dividir los datos en grupos de objetos similares. Es lo que se conoce como clusters. Esta investigación compara el algoritmo StreamKM++ con los trabajos existentes, como AP, IAPKM e IAPNA. El algoritmo StreamKM++ es un nuevo algoritmo de clustering a partir del flujo de datos y construye un buen clustering del flujo, utilizando una pequeña cantidad de memoria y tiempo.Muchos investigadores han realizado sus trabajos con algoritmos de clustering estáticos, pero en tiempo real los datos son dinámicos por naturaleza. Por lo tanto, la técnica estática convencional no es compatible en tiempo real. En este trabajo, se utiliza el algoritmo StreamKM++ que consigue un alto rendimiento de clustering frente a los tradicionales AP, IAPKM e IAPNA. Los resultados experimentales muestran que el algoritmo StreamKM++ consigue los mejores resultados en comparación con los trabajos existentes. Ha aumentado la tasa de precisión media y ha reducido el tiempo de cálculo, la memoria y el número de iteraciones.…

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -El clustering es una de las técnicas más importantes de la minería de datos. Su objetivo es dividir los datos en grupos de objetos similares. Es lo que se conoce como clusters. Esta investigación compara el algoritmo StreamKM++ con los trabajos existentes, como AP, IAPKM e IAPNA. El algoritmo StreamKM++ es un nuevo algoritmo de clustering a partir del flujo de datos y construye un buen clustering del flujo, utilizando una pequeña cantidad de memoria y tiempo.Muchos investigadores han realizado sus trabajos con algoritmos de clustering estáticos, pero en tiempo real los datos son dinámicos por naturaleza. Por lo tanto, la técnica estática convencional no es compatible en tiempo real. En este trabajo, se utiliza el algoritmo StreamKM++ que consigue un alto rendimiento de clustering frente a los tradicionales AP, IAPKM e IAPNA. Los resultados experimentales muestran que el algoritmo StreamKM++ consigue los mejores resultados en comparación con los trabajos existentes. Ha aumentado la tasa de precisión media y ha reducido el tiempo de cálculo, la memoria y el número de iteraciones.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken Spanisch.…

Taschenbuch. Condizione: Neu. ENFOQUE DE MINERÍA DE FLUJOS BASADO EN LA MINERÍA DE DATOS | ENFOQUE BASADO EN LA EXTRACCIÓN DE FLUJOS PARA ENTORNOS DINÁMICOS MEDIANTE EL ALGORITMO K-MEANS | Shylaja S | Taschenbuch | Spanisch | 2024 | Ediciones Nuestro Conocimiento | EAN 9786207272280 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Italienisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Portugiesisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 80 pp. Deutsch.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.