sandeep pratap singh (129 resultados)

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Paperback. Condición: new. Paperback. Association rule mining techniques are important part of data mining to derive relationship between attributes of large databases. Association related rule mining have evolved huge interest among researchers as many challenging problems can be solved using them. Numerous algorithms have been discovered for deriving association rules effectively. It has been evaluated that not all algorithms can give similar results in all scenarios, so decoding these merits becomes important. In thisassociation rule mining algorithms were analyzed, Comparison of these algorithms were experimentally performed based on different datasets and different parameters. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Condición: new. Paperback. Les techniques d'extraction de regles d'association sont une partie importante de l'extraction de donnees pour deriver les relations entre les attributs de grandes bases de donnees. L'exploration des regles d'association a suscite un grand interet parmi les chercheurs, car elle permet de resoudre de nombreux problemes difficiles. De nombreux algorithmes ont ete decouverts pour deriver efficacement les regles d'association. Il a ete evalue que tous les algorithmes ne peuvent pas donner des resultats similaires dans tous les scenarios, de sorte que le decodage de ces merites devient important. Dans ce document, les algorithmes d'extraction de regles d'association ont ete analyses algorithmes d'extraction de regles d'association ont ete analyses, la comparaison de ces algorithmes a ete realisee experimentalement sur la base de differents ensembles de donnees et de differents parametres. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New.

Paperback. Condición: new. Paperback. Association rule mining techniques are important part of data mining to derive relationship between attributes of large databases. Association related rule mining have evolved huge interest among researchers as many challenging problems can be solved using them. Numerous algorithms have been discovered for deriving association rules effectively. It has been evaluated that not all algorithms can give similar results in all scenarios, so decoding these merits becomes important. In thisassociation rule mining algorithms were analyzed, Comparison of these algorithms were experimentally performed based on different datasets and different parameters. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condición: Neu. Neuware -Today, our technologies are changing every day. Internet is one of the best examples for it. We all are very much dependent on internet for sharing, storage, entertainment, business, learning and many other purposes. But all we want these things with security. Whenever this word security comes, three words come in our mind i.e. authentication, integrity and confidentiality. Authentication is assurance that no one other than authenticated person can access the data. Integrity on the other end, is the assurance that receiver receives the same copy that the sender sends. It should not be like that someone other in between can change the content of data while confidentiality is the assurance that no one can read the original data in transmission or storage.There are many algorithms that are develop to ensure these properties but there is always a competition to develop an algorithm which is more time efficient and secure.Authors have designed an architecture which provides authentication, confidentiality and integrity in one. This architecture is designed in such a way it is not only secure but also time efficient too.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

Taschenbuch. Condición: Neu. Neuware -In the field of image processing, elimination of noise from digital images plays a vital role.Effective detection of noisy pixel based on median value and an efficient algorithm for the estimation and replacement of noisy pixel has been carried out in our proposed method in which replacement of noisy pixel is carried out twice, which results in better preservation of image details. The presence of high performing detection stage for the detection noisy pixel makes the proposed method suitable in the case of high density random valued impulse noise, hence the proposed method yields better image quality with improved peak signal to noise ratio (PSNR) and reduced mean square error (MSE). Results of proposed method has been compared with many other standard median based switching filters in terms of visual and quantitative measures and the performance of the proposed method is presented.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.

Taschenbuch. Condición: Neu. Neuware -In Vehicular Ad Hoc Networks (VANETs), vehicles communicate through Vehicle-to-Vehicle (V to V) and Vehicle-to-Roadside Unit (V to RSU) channels, posing challenges for wide deployment. A key issue is designing delay minimization algorithms to handle path disruptions due to vehicle mobility. This dissertation proposes a scheme focusing on reducing delays for high-velocity vehicles, minimizing collision risks. It utilizes low-velocity vehicles to share road status and velocity information, reducing overall traffic in dynamic VANETs. The AODV routing protocol is employed for flooded request and reply, broadcasting specific packets called delay-aware information. Computer simulations using the ns-2 simulator demonstrate the scheme's effectiveness in increasing information delivery, reducing packet overhead, and improving throughput.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

Paperback. Condición: new. Paperback. Association rule mining techniques are important part of data mining to derive relationship between attributes of large databases. Association related rule mining have evolved huge interest among researchers as many challenging problems can be solved using them. Numerous algorithms have been discovered for deriving association rules effectively. It has been evaluated that not all algorithms can give similar results in all scenarios, so decoding these merits becomes important. In thisassociation rule mining algorithms were analyzed, Comparison of these algorithms were experimentally performed based on different datasets and different parameters. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Paperback. Condición: new. Paperback. Les techniques d'extraction de regles d'association sont une partie importante de l'extraction de donnees pour deriver les relations entre les attributs de grandes bases de donnees. L'exploration des regles d'association a suscite un grand interet parmi les chercheurs, car elle permet de resoudre de nombreux problemes difficiles. De nombreux algorithmes ont ete decouverts pour deriver efficacement les regles d'association. Il a ete evalue que tous les algorithmes ne peuvent pas donner des resultats similaires dans tous les scenarios, de sorte que le decodage de ces merites devient important. Dans ce document, les algorithmes d'extraction de regles d'association ont ete analyses algorithmes d'extraction de regles d'association ont ete analyses, la comparaison de ces algorithmes a ete realisee experimentalement sur la base de differents ensembles de donnees et de differents parametres. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Taschenbuch. Condición: Neu. Neuware -Hoy en día, las tecnologías cambian cada día. Internet es uno de los mejores ejemplos de ello. Todos somos muy dependientes de Internet para compartir, almacenar, entretener, hacer negocios, aprender y muchos otros propósitos. Pero todos queremos estas cosas con seguridad. Cada vez que aparece la palabra seguridad, nos vienen a la mente tres palabras: autenticación, integridad y confidencialidad. La autentificación es la garantía de que nadie más que la persona autentificada puede acceder a los datos. La integridad, por su parte, es la garantía de que el receptor recibe la misma copia que el emisor. La confidencialidad es la garantía de que nadie puede leer los datos originales en la transmisión o el almacenamiento. Hay muchos algoritmos que se desarrollan para garantizar estas propiedades, pero siempre hay una competencia para desarrollar un algoritmo que sea más eficiente en el tiempo y seguro. Los autores han diseñado una arquitectura que proporciona autenticación, confidencialidad e integridad en un solo algoritmo.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Spanisch.

Taschenbuch. Condición: Neu. Neuware -En las redes ad hoc vehiculares (VANET), los vehículos se comunican a través de canales de vehículo a vehículo (V a V) y de vehículo a unidad de borde de carretera (V a RSU), lo que plantea dificultades para su despliegue a gran escala. Una cuestión clave es el diseño de algoritmos de minimización del retardo para hacer frente a las interrupciones de la ruta debidas a la movilidad de los vehículos. Esta tesis propone un esquema centrado en la reducción de los retrasos para los vehículos de alta velocidad, minimizando los riesgos de colisión. Utiliza vehículos de baja velocidad para compartir el estado de la carretera y la información de velocidad, reduciendo el tráfico global en VANETs dinámicas. Se emplea el protocolo de enrutamiento AODV para la solicitud y respuesta de inundaciones, emitiendo paquetes específicos denominados delay-aware information. Las simulaciones por ordenador realizadas con el simulador ns-2 demuestran la eficacia del sistema para aumentar la entrega de información, reducir la sobrecarga de paquetes y mejorar el rendimiento.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Spanisch.

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Paperback. Condición: new. Paperback. As tecnicas de extracao de regras de associacao sao uma parte importante da extracao de dados para determinar a relacao entre atributos de grandes bases de dados. A extracao de regras relacionadas com a associacao suscitou um enorme interesse entre os investigadores, uma vez que e possivel resolver muitos problemas dificeis utilizando-as. Foram descobertos numerosos algoritmos para obter regras de associacao de forma eficaz. Foi avaliado que nem todos os algoritmos podem dar resultados semelhantes em todos os cenarios, pelo que a descodificacao destes meritos se torna importante. Neste estudo, foram analisados algoritmos de extracao de regras de associacao, tendo sido efectuada uma comparacao experimental destes algoritmos com base em diferentes conjuntos de dados e diferentes parametros. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Assoziationsregel-Mining-Techniken sind ein wichtiger Teil des Data Mining, um Beziehungen zwischen Attributen grosser Datenbanken abzuleiten. Assoziationsbezogenes Regel-Mining hat bei Forschern grosses Interesse geweckt, da sich damit viele anspruchsvolle Probleme loesen lassen. Es wurden zahlreiche Algorithmen entdeckt, um Assoziationsregeln effektiv abzuleiten. Es wurde festgestellt, dass nicht alle Algorithmen in allen Szenarien aehnliche Ergebnisse liefern koennen, daher ist es wichtig, diese Vorteile zu entschluesseln. Dabei wurden Assoziationsregel-Mining-Algorithmen analysiert und ein Vergleich dieser Algorithmen anhand verschiedener Datensaetze und verschiedener Parameter experimentell durchgefuehrt. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Le tecniche di estrazione di regole di associazione sono una parte importante del data mining per ricavare relazioni tra gli attributi di grandi database. L'estrazione di regole di associazione ha suscitato un enorme interesse tra i ricercatori, poiche grazie ad esse e possibile risolvere molti problemi impegnativi . Sono stati scoperti numerosi algoritmi per ricavare efficacemente le regole di associazione. E stato valutato che non tutti gli algoritmi possono dare risultati simili in tutti gli scenari, quindi la decodifica di questi meriti diventa importante. In questo sono stati analizzati gli algoritmi di estrazione delle regole di associazione, il cui confronto e stato effettuato sperimentalmente sulla base di diversi set di dati e di diversi parametri. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Taschenbuch. Condición: Neu. Neuware -Las técnicas de minería de reglas de asociación son una parte importante de la minería de datos para derivar relaciones entre atributos de grandes bases de datos. La minería de reglas de asociación ha despertado un gran interés entre los investigadores, ya que permite resolver muchos problemas complejos . Se han descubierto numerosos algoritmos para derivar reglas de asociación de forma eficaz. Se ha evaluado que no todos los algoritmos pueden dar resultados similares en todos los escenarios, por lo que la decodificación de estos méritos se vuelve importante. En este se analizaron los algoritmos de minería de reglas de asociación y se compararon experimentalmente basándose en diferentes conjuntos de datos y parámetros.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Spanisch.

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