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
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 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

Enough Articulating – let’s calculate Speech Intelligibility!
Know Me and Be Relevant: What I learned from Disney’s Keynote at NCDM
Doing Data Mining Out of Order
Should we optimize ourselves for search engines?
Overlap in the Business Intelligence / Predictive Analytics Space

“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

ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic
data=driven approach
Turning Dead Zones Into Data-Driven Opportunities In Retail Spaces
Big Data Exclusive Infographic
smarter manufacturing
Connecting the Factory Floor: Efficient Integration for Smarter Manufacturing
Infographic News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Business (NOT) as Usual: 3 Big Business Intelligence Predictions for 2015

6 Min Read

Operational decision making as a corporate asset

6 Min Read
Image
Big DataData MiningData QualityData VisualizationData Warehousing

Want to Fully Leverage Data? Change the Way You Operate

6 Min Read

Beyond the Data Management Basics

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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?