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Data Mining and Knowledge Discovery for Big Data Methodologies, Challenge and Opportunities /
The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of t...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
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| Edición: | 1st ed. 2014. |
| Colección: | Studies in Big Data,
1 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Aspect and Entity Extraction for Opinion Mining
- Mining Periodicity from Dynamic and Incomplete Spatiotemporal Data
- Spatio-Temporal Data Mining for Climate Data: Advances, Challenges
- Mining Discriminative Subgraph Patterns from Structural Data
- Path Knowledge Discovery: Multilevel Text Mining as a Methodology for Phenomics
- InfoSearch: A Social Search Engine
- Social Media in Disaster Relief: Usage Patterns, Data Mining Tools, and Current Research Directions
- A Generalized Approach for Social Network Integration and Analysis with Privacy Preservation
- A Clustering Approach to Constrained Binary Matrix Factorization.