Sajeev b u (8 resultados)

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  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

    3659556459 / 9783659556456

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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    Condición: Nuevo

    EUR 115,24

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    Cantidad disponible: 4 disponibles

    Condición: New. pp. 168.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2014

    3659556459 / 9783659556456

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 61,05

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. On Certain Patterns of Self Help Group Data: Using Clustering Approach | B. U. Sajeev | Taschenbuch | 168 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659556456 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jun 2014, 2014

    3659556459 / 9783659556456

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

    EUR 71,90

    Envío por EUR 23,00 
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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Databases are growing in size to a stage where traditional techniques for analysis and visualization of the data are breaking down. In this book, knowledge of cluster analysis is applied to a socially relevant problem in India - Self Help Group (SHG). SHG has emerged as one of the most important models of socioeconomic development endeavours, particularly those aimed at women's empowerment, livelihoods strengthening and poverty alleviation. Cluster analysis is used to evaluate the performance of SHG groups. K-Means and Fuzzy C-Means algorithms are used to evaluate the financial status, socioeconomic, loan pattern and financial inclusion of SHG members. New algorithms namely Modified K-Means, Modified Fuzzy C-Means and Hybrid of K-Means and Fuzzy C-Means is used to evaluate various parameters of SHG data. These algorithms are also used to study the impact analysis of financial inclusion through SHG bank linkage. Cluster analysis is found to be very efficient, easy and reliable tool than statistical methods in data analysis. 168 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2014

    3659556459 / 9783659556456

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: Nuevo

    EUR 58,12

    Envío por EUR 48,99 
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    Cantidad disponible: Más de 20 disponibles

    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sajeev B.U.Dr.Sajeev B.U,MSc,MCA,M.Tech(CS),Ph.D with 25 years of experience in teaching and research. He is the receipient of Bharat Ratna Jawaharlal Nehru Gold Medal award instituted by [GEPRA],Chennai, for his outstanding service..…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2014

    3659556459 / 9783659556456

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 79,37

    Envío por EUR 35,00 
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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Databases are growing in size to a stage where traditional techniques for analysis and visualization of the data are breaking down. In this book, knowledge of cluster analysis is applied to a socially relevant problem in India - Self Help Group (SHG). SHG has emerged as one of the most important models of socioeconomic development endeavours, particularly those aimed at women's empowerment, livelihoods strengthening and poverty alleviation. Cluster analysis is used to evaluate the performance of SHG groups. K-Means and Fuzzy C-Means algorithms are used to evaluate the financial status, socioeconomic, loan pattern and financial inclusion of SHG members. New algorithms namely Modified K-Means, Modified Fuzzy C-Means and Hybrid of K-Means and Fuzzy C-Means is used to evaluate various parameters of SHG data. These algorithms are also used to study the impact analysis of financial inclusion through SHG bank linkage. Cluster analysis is found to be very efficient, easy and reliable tool than statistical methods in data analysis.…

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

    3659556459 / 9783659556456

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Condición: Nuevo

    EUR 118,89

    Envío por EUR 7,71 
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    Cantidad disponible: 4 disponibles

    Condición: New. Print on Demand pp. 168 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

    3659556459 / 9783659556456

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    Condición: Nuevo

    EUR 119,58

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    Cantidad disponible: 4 disponibles

    Condición: New. PRINT ON DEMAND pp. 168.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jun 2014, 2014

    3659556459 / 9783659556456

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 71,90

    Envío por EUR 60,00 
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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Databases are growing in size to a stage where traditional techniques for analysis and visualization of the data are breaking down. In this book, knowledge of cluster analysis is applied to a socially relevant problem in India - Self Help Group (SHG). SHG has emerged as one of the most important models of socioeconomic development endeavours, particularly those aimed at women's empowerment, livelihoods strengthening and poverty alleviation. Cluster analysis is used to evaluate the performance of SHG groups. K-Means and Fuzzy C-Means algorithms are used to evaluate the financial status, socioeconomic, loan pattern and financial inclusion of SHG members. New algorithms namely Modified K-Means, Modified Fuzzy C-Means and Hybrid of K-Means and Fuzzy C-Means is used to evaluate various parameters of SHG data. These algorithms are also used to study the impact analysis of financial inclusion through SHG bank linkage. Cluster analysis is found to be very efficient, easy and reliable tool than statistical methods in data analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.…