Inicio > > Ciencias de la computación > Inteligencia artificial > Kernel Based Algorithms for Mining Huge Data Sets
Kernel Based Algorithms for Mining Huge Data Sets

Kernel Based Algorithms for Mining Huge Data Sets

Ivica Kopriva / Te-Ming Huang / Vojislav Kecman

132,60 €
IVA incluido
Consulta disponibilidad
Editorial:
Springer Nature B.V.
Año de edición:
2006
Materia
Inteligencia artificial
ISBN:
9783540316817

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)
¡Pregúntanos!
Sobre IBD

This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.

Artículos relacionados

  • Exploring Advances in Interdisciplinary Data Mining and Analytics
    Data mining is still a relatively young field, expanding at the rate of technology while advancing tools and techniques for gaining knowledge, finding patterns, and managing databases. Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends is an updated look at the state of technology in the field of data mining and analytics. As processor speeds, databas...
  • Knowledge Discovery Practices and Emerging Applications of Data Mining
    Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial data automatically. Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers as...
  • Research and Trends in Data Mining Technologies and Applications
    David Taniar
    ...
  • Developing Metadata Application Profiles
    The prevalence of data science has grown exponentially in recent years. Increases in data exchange have created the need for standards and formats on handling data from different sources. Developing Metadata Application Profiles is an innovative reference source that discusses the latest trends and techniques for effectively managing and exchanging metadata. Including a range o...
  • Modern Technologies for Big Data Classification and Clustering
    Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provi...
  • 90 Gelöste Fälle zu Zeitintelligenz in der DAX-Sprache
    Ramón Javier Castro Amador
    Dieser Ratgeber ist rein praktisch ausgerichtet, so dass Sie den gesamten DAX-Code in dieser Publikation anhand einer zum Download verfügbaren .pbix-Datei testen können.'90 gelöste Fälle zu Zeitintelligenz in DAX' ist ein Ratgeber für Benutzer von Microsoft Power BI, der Lösungen für sehr häufige praktische Fälle in Zeitintelligenzmodellen in der Sprache DAX bietet.Um das Verst...
    Disponible

    16,15 €

Otros libros del autor

  • Kernel Based Algorithms for Mining Huge Data Sets
    Ivica Kopriva / Te-Ming Huang / Vojislav Kecman
    Support Vector Machines in Classification and Regression - An Introduction.- Iterative Single Data Algorithm for Kernel Machines from Huge Data Sets: Theory and Performance.- Feature Reduction with Support Vector Machines and Application in DNA Microarray Analysis.- Semi-supervised Learning and Applications.- Unsupervised Learning by Principal and Independent Component Analysis...
    Disponible

    255,73 €