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 mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Data mining ‘one-click’ applications
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 > Data mining ‘one-click’ applications
Data Mining

Data mining ‘one-click’ applications

SandroSaitta
SandroSaitta
3 Min Read
SHARE

I recently read an interesting article from Analytics Magazine entitled “Managing fundamental tradeoffs” by Mu Zhu. This article is interesting since it explains what prevent easy automation of data mining tools. According to the author:

“Algorithms used to uncover such a relationship – for example, neural networks and support vector machines – must be sufficiently flexible. This is because only flexible algorithms can be adapted to the vastly different situations that we encounter in practice.”

I recently read an interesting article from Analytics Magazine entitled “Managing fundamental tradeoffs” by Mu Zhu. This article is interesting since it explains what prevent easy automation of data mining tools. According to the author:

More Read

Predictive Analytics: 8 Things to Keep in Mind (Part 4)
one in five people still lacks access to clean, safe drinking…
SAS Warranty Solutions First Look
How Mailana Visualizes My Top 10 Loquacious Friends on Twitter
The Dark Matter of Data

“Algorithms used to uncover such a relationship – for example, neural networks and support vector machines – must be sufficiently flexible. This is because only flexible algorithms can be adapted to the vastly different situations that we encounter in practice.”

He illustrates his ideas using K-nearest neighbors algorithm. He explains that any flexible algorithm have “knobs” that must be tuned:

“Blind applications of predictive algorithms without carefully turning these “knobs” are sure to produce bad or even disastrous results.”

He gives another example of “knobs” with decision trees:

“The size of the decision tree is an important “knob” and, like the KNN, it is necessary to control this parameter carefully in order for the decision tree to be effective.”

Finally, a very important quote according to me:

“Predictive analytics and data mining are about finding information from data. They are search operations. As with all search operations, there are always two questions: where do we search, and how do we search? The algorithms are concerned with how to search, but we must tell them where to search, that is, we must feed the algorithms with data.”

One of the main conclusion of the author is that “one click” applications cannot solve all problems. What’s your opinion about that? If this is correct, then the next question would be in which situation can we use “one-click applications? Feel free to give your mind about this issue.

 

Share/Bookmark


Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data mining to find the right poly bag makers
Using Data Analytics to Choose the Best Poly Mailer Bags
Analytics Big Data Exclusive
data science importance of flexibility
Why Flexibility Defines the Future of Data Science
Big Data Exclusive
payment methods
How Data Analytics Is Transforming eCommerce Payments
Business Intelligence
cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

You Say Tomato, I Say Protocol

2 Min Read

Indeed, issues about water scarcity, pollution, and dangerous…

1 Min Read

The Use and Abuse of Big Data

5 Min Read

Teradata Tops the Chart, Again

2 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?