Publicado por VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836456575 ISBN 13: 9783836456579
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 55,49
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Publicado por VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836456575 ISBN 13: 9783836456579
Idioma: Inglés
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 54,29
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Publicado por VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836456575 ISBN 13: 9783836456579
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 55,07
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Publicado por VDM Verlag Dr. Mueller e.K. 2008-01-11, 2008
ISBN 10: 3836456575 ISBN 13: 9783836456579
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 53,02
Cantidad disponible: 10 disponibles
Añadir al carritoPaperback. Condición: New.
Publicado por VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836456575 ISBN 13: 9783836456579
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 55,06
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 88,70
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
EUR 46,32
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Publicado por VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836456575 ISBN 13: 9783836456579
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 61,41
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Publicado por AV Akademikerverlag Jun 2012, 2012
ISBN 10: 3639432967 ISBN 13: 9783639432961
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 59,00
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Revision with unchanged content. This book investigates several research problems which arise in modern Web Information Retrieval. First of all we consider the fact that there are many situations where a flat list of ten search results are not enough, and that the users might desire to have a larger number of results grouped on-the-fly in folders of similar topics. In this book, we describe Snaket, a hierarchical clustering meta-search engine which personalizes searches according to the clusters selected on-the-fly by users. Second, we consider those situations where users might desire to access fresh information such as news articles. We present a new ranking algorithm suitable for ranking those fresh type of information. Third, we will discuss numerical methodologies for accelerating the ranking methodologies used in Web Search. An important achievement for this book is that we show how to address the above predominant issues of Web Information Retrieval by using clustering and ranking methodologies. We demonstrate that both clustering and ranking have a mutual reinforcement property that has not yet been studied intensively.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.
Publicado por VDM Verlag Dr. Müller Jan 2008, 2008
ISBN 10: 3836456575 ISBN 13: 9783836456579
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 74,28
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware - This book investigates several research problems which arise in modern Web Information Retrieval. First of all we consider the fact that there are many situations where a flat list of ten search results are not enough, and that the users might desire to have a larger number of results grouped on-the-fly in folders of similar topics. In this book, we describe Snaket, a hierarchical clustering meta-search engine which personalizes searches according to the clusters selected on-the-fly by users. Second, we consider those situations where users might desire to access fresh information such as news articles. We present a new ranking algorithm suitable for ranking those fresh type of information. Third, we will discuss numerical methodologies for accelerating the ranking methodologies used in Web Search. An important achievement for this book is that we show how to address the above predominant issues of Web Information Retrieval by using clustering and ranking methodologies. We demonstrate that both clustering and ranking have a mutual reinforcement property that has not yet been studied intensively.
Publicado por VDM Verlag Dr. Mueller e.K., 2008
ISBN 10: 3836456575 ISBN 13: 9783836456579
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 127,74
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Publicado por VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836456575 ISBN 13: 9783836456579
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 137,11
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836456575 ISBN 13: 9783836456579
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 157,44
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 159,22
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 160,82
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 159,62
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 157,19
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 157,19
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 157,18
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 136,16
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 136,16
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 192,88
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 340.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 208,54
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 340.
EUR 207,29
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 340 Illus.
EUR 141,30
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Clustering and Information Retrieval | Weili Wu (u. a.) | Taschenbuch | viii | Englisch | 2011 | Springer US | EAN 9781461379492 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
EUR 206,30
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 340.
Publicado por Springer US, Springer US Nov 2003, 2003
ISBN 10: 1402076827 ISBN 13: 9781402076824
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware -Clustering is an important technique for discovering relatively dense sub-regions or sub-spaces of a multi-dimension data distribution. Clus tering has been used in information retrieval for many different purposes, such as query expansion, document grouping, document indexing, and visualization of search results. In this book, we address issues of cluster ing algorithms, evaluation methodologies, applications, and architectures for information retrieval. The first two chapters discuss clustering algorithms. The chapter from Baeza-Yates et al. describes a clustering method for a general metric space which is a common model of data relevant to information retrieval. The chapter by Guha, Rastogi, and Shim presents a survey as well as detailed discussion of two clustering algorithms: CURE and ROCK for numeric data and categorical data respectively. Evaluation methodologies are addressed in the next two chapters. Ertoz et al. demonstrate the use of text retrieval benchmarks, such as TRECS, to evaluate clustering algorithms. He et al. provide objective measures of clustering quality in their chapter. Applications of clustering methods to information retrieval is ad dressed in the next four chapters. Chu et al. and Noel et al. explore feature selection using word stems, phrases, and link associations for document clustering and indexing. Wen et al. and Sung et al. discuss applications of clustering to user queries and data cleansing. Finally, we consider the problem of designing architectures for infor mation retrieval. Crichton, Hughes, and Kelly elaborate on the devel opment of a scientific data system architecture for information retrieval.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
EUR 119,47
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Publicado por Springer US, Springer New York, 2011
ISBN 10: 1461379490 ISBN 13: 9781461379492
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 168,73
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Clustering is an important technique for discovering relatively dense sub-regions or sub-spaces of a multi-dimension data distribution. Clus tering has been used in information retrieval for many different purposes, such as query expansion, document grouping, document indexing, and visualization of search results. In this book, we address issues of cluster ing algorithms, evaluation methodologies, applications, and architectures for information retrieval. The first two chapters discuss clustering algorithms. The chapter from Baeza-Yates et al. describes a clustering method for a general metric space which is a common model of data relevant to information retrieval. The chapter by Guha, Rastogi, and Shim presents a survey as well as detailed discussion of two clustering algorithms: CURE and ROCK for numeric data and categorical data respectively. Evaluation methodologies are addressed in the next two chapters. Ertoz et al. demonstrate the use of text retrieval benchmarks, such as TRECS, to evaluate clustering algorithms. He et al. provide objective measures of clustering quality in their chapter. Applications of clustering methods to information retrieval is ad dressed in the next four chapters. Chu et al. and Noel et al. explore feature selection using word stems, phrases, and link associations for document clustering and indexing. Wen et al. and Sung et al. discuss applications of clustering to user queries and data cleansing. Finally, we consider the problem of designing architectures for infor mation retrieval. Crichton, Hughes, and Kelly elaborate on the devel opment of a scientific data system architecture for information retrieval.
Publicado por Springer US, Springer US, 2003
ISBN 10: 1402076827 ISBN 13: 9781402076824
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 168,73
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Clustering is an important technique for discovering relatively dense sub-regions or sub-spaces of a multi-dimension data distribution. Clus tering has been used in information retrieval for many different purposes, such as query expansion, document grouping, document indexing, and visualization of search results. In this book, we address issues of cluster ing algorithms, evaluation methodologies, applications, and architectures for information retrieval. The first two chapters discuss clustering algorithms. The chapter from Baeza-Yates et al. describes a clustering method for a general metric space which is a common model of data relevant to information retrieval. The chapter by Guha, Rastogi, and Shim presents a survey as well as detailed discussion of two clustering algorithms: CURE and ROCK for numeric data and categorical data respectively. Evaluation methodologies are addressed in the next two chapters. Ertoz et al. demonstrate the use of text retrieval benchmarks, such as TRECS, to evaluate clustering algorithms. He et al. provide objective measures of clustering quality in their chapter. Applications of clustering methods to information retrieval is ad dressed in the next four chapters. Chu et al. and Noel et al. explore feature selection using word stems, phrases, and link associations for document clustering and indexing. Wen et al. and Sung et al. discuss applications of clustering to user queries and data cleansing. Finally, we consider the problem of designing architectures for infor mation retrieval. Crichton, Hughes, and Kelly elaborate on the devel opment of a scientific data system architecture for information retrieval.