Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Helpful Forecasting Resources
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Helpful Forecasting Resources
AnalyticsData Management

Helpful Forecasting Resources

SandroSaitta
SandroSaitta
3 Min Read
SHARE

articlessThis is the last post of the series on forecasting.

articlessThis is the last post of the series on forecasting. Up to now, subjects such as varying factors, methods and evaluation criteria have been studied. This post lists key references in the field of time series prediction, particularly using Support Vector Regression (SVR). Note that some of these resources are not free:

  • Time Series and Forecasting (chapter 22): different forecasting models are described in detail in this book chapter. Evaluation criteria are also presented. Although several equations are given, business problems such as planning are mentioned.
  • Support Vector Regression for link load prediction: SVR are detailed as well as specific studies on sensitivity to input data, SVR parameters and training size. Other topics such as complexity and forecast horizon are analyzed.
  • Forecasting with computational intelligence – an evaluation of Support Vector Regression and Artificial Neural Networks for time series predictions: a technical paper detailing what are times series and how SVR and NN (Neural Networks) can be used for forecasting. Use of training, validation and test set is advised.
  • Error measures for generalizing about forecasting methods – empirical comparisons: analysis of the different evaluation criteria. Clearly separate two common goals that are to i) select the best forecasting model and to ii) calibrate a given forecasting model.
  • Support Vector Machines and learning about time: good introductory article with several time series principles explained. Different ways to approach forecasting are presented.
  • Forecasting – principles and practice: this online textbook is my favorite resource to learn forecasting. Focus is made on concepts, key ideas and business challenges regarding time series prediction. If you should read only one resource about principles of forecasting, it should be this one.
  • Another look at forecast – accuracy metrics for intermittent demand: concise article full of advices to choose the right evaluation criteria for forecasting. If you want to read only one reference about evaluation criteria, I strongly advise this one.

Feel free to comment and add your own references!

TAGGED:forecastingSVR
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Forecasting Olympic Medals

6 Min Read

ATM Replenishment: Forecasting and Optimization

4 Min Read

One-Number Forecasting: A New Worst Practice?

3 Min Read

See the Future with Your CRM

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?