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About Data Mining

A blog about data mining and machine learning, recommender systems, business applications and related news and events.

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About Data Mining | aboutdm.com Reviews
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A blog about data mining and machine learning, recommender systems, business applications and related news and events.
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1 about data mining
2 pages
3 product attribute extraction
4 ann taylor
5 asymmetrical knit dress
6 petite
7 size
8 reference
9 posted by
10 junling hu
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about data mining,pages,product attribute extraction,ann taylor,asymmetrical knit dress,petite,size,reference,posted by,junling hu,2 comments,email this,blogthis,share to twitter,share to facebook,share to pinterest,labels text mining,academic industry
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About Data Mining | aboutdm.com Reviews

https://aboutdm.com

A blog about data mining and machine learning, recommender systems, business applications and related news and events.

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1

About Data Mining: Learning to rank and recommender systems

http://www.aboutdm.com/2013/07/learning-to-rank-and-recommender-systems.html

Jul 26, 2013. Learning to rank and recommender systems. A recommendation problem is essentially a ranking problem: Among a list of movies, which should rank higher in order to be recommended? Among the job candidates, who should LinkedIn display to the recruiters? The task of recommendation can be viewed as creating a ranked list. A ranking approach to recommendation is much more flexible. It can incorporate all the information as different variables (features). Thus it is more explicit. In a...In tradit...

2

About Data Mining: Text Mining: Named Entity Detection

http://www.aboutdm.com/2013/07/text-mining-named-entity-detection.html

Jul 8, 2013. Text Mining: Named Entity Detection. An interesting task of text mining is detecting entities in the text. Such entities could be a person, a company, a product, or a location. Since an entity is associated with a special name, it is also called Named Entity. For example, the following text contains 3 named entities:. Has hired Paul Deneve. As vice president, reporting to CEO Tim Cook. The first term “Apple” indicates a company, and the second and third are persons. But such rules could be t...

3

About Data Mining: Hiring data scientists

http://www.aboutdm.com/2014/01/hiring-data-scientists.html

Jan 2, 2014. Many times I am asked by friends and colleagues on who are data scientists. Many are interested in answers to a very practical question: “Who should I hire as a data scientist? In my practical experience in building data science teams, I have come to appreciate the following qualities:. A fundamental understanding of machine learning. A sophisticated understanding of statistics and advanced mathematics. Training in computer science. We live in a big data era. In order to work with data, ...

4

About Data Mining: Overview of data mining

http://www.aboutdm.com/2013/11/overview-of-data-mining.html

Nov 11, 2013. Overview of data mining. When people talk about data mining, sometimes they refer to the methods used in this field, such as machine learning.Sometimes they refer to specific data of interest, such as text mining or video mining. Many other times, people use the term "big data" simply referring to the infrastructure of data mining, such as Hadoop or Cassandra. Given all of these various references, newcomers of the data mining field feel like lost in a wonderland. Nov 13, 2013, 1:49:00 AM.

5

About Data Mining: The future of video mining

http://www.aboutdm.com/2013/04/the-future-of-video-mining.html

Apr 30, 2013. The future of video mining. IP camera has become inexpensive and ubiquitous. For $149, you can get an IP camera to use at home. This camera saves recording in the cloud, and you never have to worry about buying memory cards. Dropcam. Offers this amazing service. The camera connects to your wi-fi network and stream real-time video 24 hours a day to the server. You can watch your home remotely from your smart phone or laptop. In addition, Dropcam plans to implement face and figure detection s...

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2013 Events | IEEE Computer Society of Silicon Valley

http://computer.ieeesiliconvalley.org/category/event-archive/2013-events

IEEE Computer Society of Silicon Valley. Also known as: IEEE Computer Society Santa Clara Valley. Join Our Email Distribution. Category Archives: 2013 Events. Drinking from the Firehose – Run-ahead Transfer Prediction. October 8, 2013. Tuesday, November 12, 2013, 6:30 PM. Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA ( map. Ivan Godard, CTO Out-of-the-Box Computing. Continue reading →. Comments Off on Drinking from the Firehose – Run-ahead Transfer Prediction. Deep Dive into Android App Development.

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About Data Mining

Apr 22, 2014. One of the most popular application for named entity detection is product attribute extraction. Automatically extracting product attributes from text helps E-commerce company correctly process user query and match it the right products. Marketers want to know what people are talking about related to their products. Corporate strategists wants to find out what products are trendy based on user discussions. What challenge do we face in extracting product attributes? As we can see, a dictionar...

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