datamining.ws.gc.cuny.edu datamining.ws.gc.cuny.edu

DATAMINING.WS.GC.CUNY.EDU

CUNY Data Mining Initiative | Exploring data mining in the social sciences

CUNY Data Mining Initiative. Exploring data mining in the social sciences. Skip to primary content. Skip to secondary content. Professor Chris A. Bail’s “The Rhythm of Communicative Styles”. In Professor Bail’s data mining toolkit includes mining Facebook for information of online user activity. Using automated content analysis. If you would like to read more of Professor Bail’s work, we recommend starting out with his. 8220;The Cultural Environment,” or. 8220;The Fringe Effect.”. March 9, 2015 – T...

http://datamining.ws.gc.cuny.edu/

WEBSITE DETAILS
SEO
PAGES
SIMILAR SITES

TRAFFIC RANK FOR DATAMINING.WS.GC.CUNY.EDU

TODAY'S RATING

>1,000,000

TRAFFIC RANK - AVERAGE PER MONTH

BEST MONTH

November

AVERAGE PER DAY Of THE WEEK

HIGHEST TRAFFIC ON

Monday

TRAFFIC BY CITY

CUSTOMER REVIEWS

Average Rating: 4.3 out of 5 with 16 reviews
5 star
8
4 star
6
3 star
1
2 star
0
1 star
1

Hey there! Start your review of datamining.ws.gc.cuny.edu

AVERAGE USER RATING

Write a Review

WEBSITE PREVIEW

Desktop Preview Tablet Preview Mobile Preview

LOAD TIME

2.9 seconds

CONTACTS AT DATAMINING.WS.GC.CUNY.EDU

Login

TO VIEW CONTACTS

Remove Contacts

FOR PRIVACY ISSUES

CONTENT

SCORE

6.2

PAGE TITLE
CUNY Data Mining Initiative | Exploring data mining in the social sciences | datamining.ws.gc.cuny.edu Reviews
<META>
DESCRIPTION
CUNY Data Mining Initiative. Exploring data mining in the social sciences. Skip to primary content. Skip to secondary content. Professor Chris A. Bail’s “The Rhythm of Communicative Styles”. In Professor Bail’s data mining toolkit includes mining Facebook for information of online user activity. Using automated content analysis. If you would like to read more of Professor Bail’s work, we recommend starting out with his. 8220;The Cultural Environment,” or. 8220;The Fringe Effect.”. March 9, 2015 – T...
<META>
KEYWORDS
1 main menu
2 papers
3 streams and videos
4 upcoming events
5 about us
6 post navigation
7 larr;
8 older posts
9 posted on
10 darren kwong
CONTENT
Page content here
KEYWORDS ON
PAGE
main menu,papers,streams and videos,upcoming events,about us,post navigation,larr;,older posts,posted on,darren kwong,further reading,theory and society,article,american sociological review,posted in,events,videos,sociological theory,huffington post,salon
SERVER
Apache/2.2.15 (Red Hat)
POWERED BY
PHP/5.3.3
CONTENT-TYPE
utf-8
GOOGLE PREVIEW

CUNY Data Mining Initiative | Exploring data mining in the social sciences | datamining.ws.gc.cuny.edu Reviews

https://datamining.ws.gc.cuny.edu

CUNY Data Mining Initiative. Exploring data mining in the social sciences. Skip to primary content. Skip to secondary content. Professor Chris A. Bail’s “The Rhythm of Communicative Styles”. In Professor Bail’s data mining toolkit includes mining Facebook for information of online user activity. Using automated content analysis. If you would like to read more of Professor Bail’s work, we recommend starting out with his. 8220;The Cultural Environment,” or. 8220;The Fringe Effect.”. March 9, 2015 – T...

INTERNAL PAGES

datamining.ws.gc.cuny.edu datamining.ws.gc.cuny.edu
1

nicholas petraco | CUNY Data Mining Initiative

http://datamining.ws.gc.cuny.edu/tag/nicholas-petraco

CUNY Data Mining Initiative. Exploring data mining in the social sciences. Skip to primary content. Skip to secondary content. Tag Archives: nicholas petraco. Professor Nicholas Petraco’s “Quantitative Criminalistics”. April 25, 2014 Nicholas Petraco, Associate Professor at John Jay College of Criminal Justice, CUNY, presented his talk, “Quantitative Criminalistics: Application of State-of-the-Art Machine Learning and Computational Statistics to Catching Bad G. Proudly powered by WordPress.

2

Upcoming Events | CUNY Data Mining Initiative

http://datamining.ws.gc.cuny.edu/upcoming-events

CUNY Data Mining Initiative. Exploring data mining in the social sciences. Skip to primary content. All of our events are free and open to the public. If you would like to RSVP, you can do so at cunydatamining.eventbrite.com. Alternatively, you can email us with your name, organizational affiliation (if any), and the event name(s) at datamining@gc.cuny.edu. MAY 14, 2015, 12 Noon @ The Graduate Center, Room 6112. Speaker: Professor Christopher A. Bail, University of North Carolina, Chapel Hill. Dr Bail is...

3

big data | CUNY Data Mining Initiative

http://datamining.ws.gc.cuny.edu/tag/big-data

CUNY Data Mining Initiative. Exploring data mining in the social sciences. Skip to primary content. Skip to secondary content. Tag Archives: big data. Professor Chris Bail to Present in Spring 2015. March 9, 2015 – This Spring, we will be hosting one seminar. Professor Christopher A. Bail of the University of Carolina at Chapel Hill will be giving his talk titled, “The Rhythm of Communicative Styles: How Advocacy Organizations Win Support from Social Media Bystanders.”. Sociological Methods and Research.

4

Professor Nicholas Petraco’s “Quantitative Criminalistics” | CUNY Data Mining Initiative

http://datamining.ws.gc.cuny.edu/2014/05/12/nicholas-petraco-seminar

CUNY Data Mining Initiative. Exploring data mining in the social sciences. Skip to primary content. Professor Nicholas Petraco’s “Quantitative Criminalistics”. April 25, 2014 Nicholas Petraco, Associate Professor at John Jay College of Criminal Justice, CUNY, presented his talk, “Quantitative Criminalistics: Application of State-of-the-Art Machine Learning and Computational Statistics to Catching Bad G. This entry was posted in Videos. And tagged applied law. Proudly powered by WordPress.

5

applied law | CUNY Data Mining Initiative

http://datamining.ws.gc.cuny.edu/tag/applied-law

CUNY Data Mining Initiative. Exploring data mining in the social sciences. Skip to primary content. Skip to secondary content. Tag Archives: applied law. Professor Nicholas Petraco’s “Quantitative Criminalistics”. April 25, 2014 Nicholas Petraco, Associate Professor at John Jay College of Criminal Justice, CUNY, presented his talk, “Quantitative Criminalistics: Application of State-of-the-Art Machine Learning and Computational Statistics to Catching Bad G. Proudly powered by WordPress.

UPGRADE TO PREMIUM TO VIEW 15 MORE

TOTAL PAGES IN THIS WEBSITE

20

OTHER SITES

datamining.rutgers.edu datamining.rutgers.edu

Rutgers: Data Mining: Professor Hui Xiong

Dr Hui Xiong, Professor. Management Science and Information Systems Department. Rutgers, the State University of New Jersey. Office: 1 Washington Park. Dr Hui Xiong received his Ph.D. in Computer Science. From the University of Minnesota - Twin Cities. USA, in 2005, the B.E. degree in Automation from the University of Science and Technology of China (USTC). Hefei, China, and the M.S. degree in Computer Science. From the National University of Singapore (NUS). 2007), Dean's Award for Meritorious Research ...

datamining.togaware.com datamining.togaware.com

Togaware: Data Mining Resources

So what’s getting ubiquitous and cheap? And what is complementary to data? So my recommendation is to take lots of courses about how to manipulate and analyze data: databases, machine learning, econometrics, statistics, visualization, and so on. Professor Hal Varian, Chief Economist at Google, speaking to the New York Times in February 2009. Is a free and open source data mining toolkit written in the statistical language R. Published 2011 by Springer-Verlag (DOI: 10.1007/978-1-4419-9890-3). An extended ...

datamining.typepad.com datamining.typepad.com

Data Mining: Text Mining, Visualization and Social Media

Data Mining: Text Mining, Visualization and Social Media. Check out my about.me profile! Various Country Shapefiles (VDSTechnologies). March 27, 2016. There has been a lot of commentary recently on issues relating to an experimental chat bot that Microsoft has (or had) launched named (after, perhaps, a river in Scotland) Tay. After a brief existence online, the bot was removed due to behaviours perceived as offensive which it was persuaded to engage in. Peter Lee of MSR has this. March 27, 2016 in AI.

datamining.ugent.be datamining.ugent.be

Data Mining at UGent

Departm. of Marketing. Faculty of Economics and Business Administration. Data Mining at UGent. Data Mining at UGent. Master of Science in Marketing Analysis. Master of Science in Business Engineering: elective Marketing Engineering. This two-year full-time program in business analytics is partially taught in English. Click here. Master of Science in Statistical Data Analysis. BALLINGS M. and VAN DEN POEL D. (2013), Kernel Factory: An ensemble of kernel machines. Classification: Random Multinomial Logit.

datamining.us datamining.us

datamining.us

datamining.ws.gc.cuny.edu datamining.ws.gc.cuny.edu

CUNY Data Mining Initiative | Exploring data mining in the social sciences

CUNY Data Mining Initiative. Exploring data mining in the social sciences. Skip to primary content. Skip to secondary content. Professor Chris A. Bail’s “The Rhythm of Communicative Styles”. In Professor Bail’s data mining toolkit includes mining Facebook for information of online user activity. Using automated content analysis. If you would like to read more of Professor Bail’s work, we recommend starting out with his. 8220;The Cultural Environment,” or. 8220;The Fringe Effect.”. March 9, 2015 – T...

datamining.xf.cz datamining.xf.cz

Data Mining

Dnešní datum: 07. 08. 2015. Datové sklady a OLAP. OLAP - uložení dat. Vydáno dne 28. 10. 2002 (13323 přečtení). Datové sklady a OLAP nástroje jsou založeny na multidimensionálním datovém modelu. Tento model zobrazuje data ve formě datové kostky. Ů: 1095 Přidat komentář. Uložení dat v OLAP systémech. Vydáno dne 28. 10. 2002 (9280 přečtení). Ů: 3743 Přidat komentář. Vydáno dne 28. 10. 2002 (7418 přečtení). Ů: 506 Přidat komentář. Datové sklady a OLAP. Vydáno dne 28. 10. 2002 (22597 přečtení). Jaká je vaše ...

datamining.xmu.edu.cn datamining.xmu.edu.cn

数据挖掘实验室 | DataMining Lab@Xiamen University, School of Information Science and Technology

Bin Liu, Jinghao Xu, Quan Zou. Ruifeng Xu, Xiaolong Wang and Qingcai Chen, Using distances between Top-n-gram and residue pairs for protein remote homology detection. BMC Bioinformatics, 2014, 15(Suppl 2):S3. Bin Liu, Xiaolong Wang, Quan Zou. Qiwen Dong, Qingcai Chen, Protein remote homology detection by combining Chou’s pseudo amino acid composition and profile-based protein representation. Molecular informatics, 32, pp 775-782, 2013. CCF官方公布参见http:/ www.ccf.org.cn/sites/ccf/xhdtnry.jsp?

datamining007.com datamining007.com

Data Mining 007

This page is under construction and will soon be fully launched. We are currently setting up an infotainment site for statistics and data mining. This service will be entirely free. Here is a first teaser for James Bond fans:. Do you know the average film length of all official James Bond films? The anwer to this and many other questions will be published on this site soon). If in the meanwhile you are looking for an easy to use data mining tool. Just click this link.

datamining451.blogspot.com datamining451.blogspot.com

ms 451 data mining

Sunday, January 2, 2011. DATA VISUALIZATION and ANALYSIS. 8220;Association Mining of Financial Data”. Borgelt’s apriori program and Excel spreadsheet are used to analyzing financial data to gaining insights with through the instruments of Association mining, support and confidence concepts. 1 Analysis of Complete Data. The support values of cumhuriyet gold increases or decreases today. If dollar increases less than 0.001, we cannot make certain guess about euro because it can either increase or decre...

datamining69.blogspot.com datamining69.blogspot.com

Data Mining

提供線上 Data mining .pdf .ppt .doc 等檔案. Data Mining Case Studies. As I'm in the mood for finally responding to frequent requests, here is a list of case studies referring to SQL Server Data Mining on Microsoft.com. Note that these are "marketing" case studies and are notoriously sparse on details, and that's aggravated by marketing focusing more on the relational engine than the data mining engine (in fact many of them refer to data mining without. Or "But does anyone like us use SQL Server Data Mining?