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
    big data and customer service outsourcing
    How Data Analytics Improves Customer Service Outsourcing
    18 Min Read
    How a Specialized Marketing VA Improves Campaign Analytics
    How a Specialized Marketing VA Improves Campaign Analytics
    11 Min Read
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    6 Min Read
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 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

Google: Find Similar Images
Wielding Analytics to Conquer the Customer Experience Battle
Tests that show machines closing in on human abilities – tech -…
Using Sentiment to Understand Your Consumer & Your Competitors
Gmail enters negative time !

“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

big data and customer service outsourcing
How Data Analytics Improves Customer Service Outsourcing
Analytics Exclusive
The End of Unstructured Marketing: Forcing Generative AI into Strict HTML Schemas
The End of Unstructured Marketing: Forcing Generative AI into Strict HTML Schemas
Artificial Intelligence Exclusive
How a Specialized Marketing VA Improves Campaign Analytics
How a Specialized Marketing VA Improves Campaign Analytics
Analytics Exclusive
ai marketing tools
The 9 AI Tools Marketers Use to Create Images and Video in 2026
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Python Montage Code for Displaying Arrays

1 Min Read

Graphing real-time foreclosure data: Data Mashups in R

5 Min Read

Statistics: The Need for Integration

2 Min Read

Don’t think percentages, think real people

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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?