Balakrishna Eppakayala (20 results)

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Taschenbuch. Condition: Neu. Modified Frequent Pattern Tree for Mining Negative Association Rules | A Data Mining Techniques for Market Basket Analysis | Eppakayala Balakrishna (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204979540 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Association Rule Mining (ARM) in data mining provides quality association rules based on measures such as support and confidence. These rules are interpreted by domain experts for making well-informed decisions. However, there is an issue with ARM when the dataset is subjected to changes from time to time. Discovering rules by reinventing wheel, scanning entire dataset every time in other words, consumes more memory, processing power and time. This is still an open problem due to proliferation of different data structures being used for extracting frequent item sets. An algorithm is proposed for update of mined association rules when dataset changes occur. The proposed algorithm outperforms the traditional approach as it mines association rules incrementally and dynamically updates mined association rules.…

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mining of Negative Association Rule is helpful to discover the competent items i.e., one item can be substituted for another items in a database. In decision making, we generally use many advantage factors, and also consider some disadvantage factors, for the intention of less-risk (more-profit). It is necessary to focus on Negative Association Rule mining, because in the super market data analysis, Negative Association Rule Mining identifies whatever the items which are not buying together and also whatever the items which may be used as replacing (substituted or alternative) items for other items. Such kind of analysis is possible through Negative Association Rule Mining. Negative rules specify that the relationship between the present and absent item-sets. Negative Association Rule mining is also important because such types of rules should be considered in decision making for applications include product placement and investment analysis. 124 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Association Rule Mining (ARM) in data mining provides quality association rules based on measures such as support and confidence. These rules are interpreted by domain experts for making well-informed decisions. However, there is an issue with ARM when the .…

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mining of Negative Association Rule is helpful to discover the competent items i.e., one item can be substituted for another items in a database. In decision making, we generally use many advantage factors, and also consider some disadvantage factors, for the intention of less-risk (more-profit). It is necessary to focus on Negative Association Rule mining, because in the super market data analysis, Negative Association Rule Mining identifies whatever the items which are not buying together and also whatever the items which may be used as replacing (substituted or alternative) items for other items. Such kind of analysis is possible through Negative Association Rule Mining. Negative rules specify that the relationship between the present and absent item-sets. Negative Association Rule mining is also important because such types of rules should be considered in decision making for applications include product placement and investment analysis. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - La minería de reglas de asociación (ARM) en la minería de datos proporciona reglas de asociación de calidad basadas en medidas como el apoyo y la confianza. Estas reglas son interpretadas por los expertos del dominio para tomar decisiones bien informadas. Sin embargo, hay un problema con ARM cuando el conjunto de datos está sujeto a cambios de vez en cuando. Descubrir reglas reinventando la rueda, escaneando todo el conjunto de datos cada vez, en otras palabras, consume más memoria, capacidad de procesamiento y tiempo. Este es todavía un problema abierto debido a la proliferación de diferentes estructuras de datos que se utilizan para extraer conjuntos de elementos frecuentes. Se propone un algoritmo para actualizar las reglas de asociación extraídas cuando se producen cambios en el conjunto de datos. El algoritmo propuesto supera el enfoque tradicional, ya que extrae las reglas de asociación de forma incremental y actualiza dinámicamente las reglas de asociación extraídas.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balakrishna EppakayalaDr. Eppakayala Balakrishna completed M.Tech and Ph.D in CSE from JNTU University, Hyderabad. He is working as an Associate Professor in the department of CSE, Vaagdevi College of Engineering.Mining of Negati.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Mining of Negative Association Rule is helpful to discover the competent items i.e., one item can be substituted for another items in a database. In decision making, we generally use many advantage factors, and also consider some disadvantage factors, for the intention of less-risk (more-profit). It is necessary to focus on Negative Association Rule mining, because in the super market data analysis, Negative Association Rule Mining identifies whatever the items which are not buying together and also whatever the items which may be used as replacing (substituted or alternative) items for other items. Such kind of analysis is possible through Negative Association Rule Mining. Negative rules specify that the relationship between the present and absent item-sets. Negative Association Rule mining is also important because such types of rules should be considered in decision making for applications include product placement and investment analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - L'extraction de règles d'association (ARM) dans l'exploration de données fournit des règles d'association de qualité basées sur des mesures telles que le soutien et la confiance. Ces règles sont interprétées par des experts du domaine pour prendre des décisions bien informées. Cependant, l'ARM pose un problème lorsque l'ensemble de données est soumis à des changements de temps en temps. La découverte de règles en réinventant la roue, en analysant l'ensemble des données à chaque fois, autrement dit, consomme plus de mémoire, de puissance de traitement et de temps. Ce problème reste ouvert en raison de la prolifération de différentes structures de données utilisées pour extraire des ensembles d'éléments fréquents. Un algorithme est proposé pour la mise à jour des règles d'association extraites lorsque des modifications sont apportées au jeu de données. L'algorithme proposé surpasse l'approche traditionnelle car il extrait les règles d'association de manière incrémentielle et met à jour dynamiquement les règles d'association extraites.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nedendla SatyavathiDr.N.Satyavathi lavora come capo del dipartimento CSE in una prestigiosa istituzione. Ha 17 anni di esperienza nell insegnamento. Ha pubblicato diversi articoli di ricerca in varie riviste Scopus e conferenze inter.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nedendla SatyavathiDr. N. Satyavathi arbeitet als Leiterin der Abteilung CSE in einer renommierten Einrichtung. Sie hat 17 Jahre Erfahrung in der Lehre. Veroeffentlichte verschiedene Forschungsarbeiten in verschiedenen Scopus-Zeitschr.…