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 analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    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
  • 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

As the planet heats up, so do regulatory mandates to reduce…
Conducting Research on Social Networks
Some thoughts on mobile
Guest post: Why Google TV Could Destroy Nielsen’s Data
Come to the Enterprise Decision Management Summit in 2009

“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 role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

A Tale Of Two Banks

5 Min Read

Technologies are being developed that enable tiny computing…

1 Min Read

“I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web…”

1 Min Read

Data Mining Data Sets

1 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
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?