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
    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
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Auto-correlation for time series analysis
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Auto-correlation for time series analysis
Data Mining

Auto-correlation for time series analysis

SandroSaitta
SandroSaitta
2 Min Read
SHARE

Recently, I was reading the EPFL magazine and was surprised to see an article where they interviewed my master thesis adviser, Francois Fleuret. He explained data mining and gave an example about our project.

The goal of my master project was to predict the pollen concentration in the air for the following days. For that, we used different kinds of weather data (temperature, wind, sun, rain, etc.) available as daily data. The most interesting was not the data mining technique used, but rather the results obtained.

Recently, I was reading the EPFL magazine and was surprised to see an article where they interviewed my master thesis adviser, Francois Fleuret. He explained data mining and gave an example about our project.

More Read

Set to debut this week at CES, Mattel’s Mind Flex requires…
A Hollywood Celebrity’s Use of Analytics
Using decision management to manage risk
2012: The Year of Big Data in American Politics
David Meerman Scott speaks to Tom H. C. Anderson about PR

The goal of my master project was to predict the pollen concentration in the air for the following days. For that, we used different kinds of weather data (temperature, wind, sun, rain, etc.) available as daily data. The most interesting was not the data mining technique used, but rather the results obtained.

We used various techniques such as linear regression and decision tree. At the end, we also tried auto-correlation to study the effect of the quantity of pollen from one day on the following days. As the value was quite high, we plotted our prediction and saw that they were very close to yesterday pollen concentration. We could thus conclude with a sentence such as “tomorrow’s pollen concentration has a high probability to be like today’s concentration”.

pollen

The lesson that I learn from this project is to first try simpler methods (such as the cross- and auto-correlation in this case) before using any other, more complex, data mining techniques. This concept is related to the Occam’s razor which can be summarized by the well known quote “Entities must not be multiplied beyond necessity”. Of course, as it is recommended in data mining, you should always try more than one techniques to make predictions.

TAGGED:projects
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive
AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Implementing e2.0

3 Min Read

Product Success and Innovation

11 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?