Analyzing Big Data with the Hybrid Interval Regression Methods
Big data is a new trend at present, forcing the significant impacts on information technologies. In big data applications, one of the most concerned issues is dealing with large-scale data sets that often require computation resources provided by public cloud services. How to analyze big data effici...
Saved in:
| Main Authors: | Chia-Hui Huang, Keng-Chieh Yang, Han-Ying Kao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/243921 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on interval prediction method of railway freight based on big data and TCN‐BiLSTM‐QR
by: Chenyang Feng, et al.
Published: (2024-12-01) -
Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting
by: Jelena Fiosina, et al.
Published: (2017-01-01) -
Analyzing Hotel Customer Experience through Big Data Method: Samples from Hotels in Antalya and Istanbul
by: Oznur Cetinkaya, et al.
Published: (2020-06-01) -
The Impact of Cancer on Poverty: An Analytical Study Using Big Data and OLS Regression
by: Heny Pratiwi, et al.
Published: (2025-05-01) -
MapReduce Functions to Analyze Sentiment Information from Social Big Data
by: Ilkyu Ha, et al.
Published: (2015-06-01)