Hi Mehran, You may explore a product STATISTICA 9.0 for a full Analytical cycle i. Data Acqusition ii. Data Cleaning,transforming,validation & prepartion. iii. Statistical Principles & algarithm iv. Report (Disemination of Information).
You may exp…
Hi,
You may explore StatSoft family of products STATISTICA for an Unified Engine for an Analytical Cycle, 1. Data Acquisition (From most of the source & Format) 2. Data Cleansing, Transformation & Validation 3. Analytical Algorithm (Approx 14,000 S…
Lousy data (or even no data at all, no statistical modeling) combined with deep domain knowledge is better than perfect data and sophisticated predictive modeling developed by data miners lacking domain expertize.
Cleaning the data is of course nec…
Has anyone experimented with 64-bit S+ version which is only for Linux?
If so, what are your findings? How large data you were able to analyze (without using "bigdata" feature) and how much RAM you've been able to utilize?
Please real experiments…
Has anyone experimented with 64-bit S+ version which is only for Linux?
If so, what are your findings? How large data you were able to analyze (without using "bigdata" feature) and how much RAM you've been able to utilize?
Please real experiments…
Perhaps you should check the work of Johan Suykens, University of Leuven, Belgium. He wa my promotor during my PhD and I remember that he did a lot of research in this area.
Succes.
Kind regards,
Bart
Hi, Burak:
I have been using ARIMA for sales forecast for my company and I came across this hybrid method that decompose series into linear and non-linear parts. That result that you posed seems very promising and I would like to learn more about it…