DMML.ASU.EDU

fearofdata.blogspot.com

Fear of Data: September 2013

http://fearofdata.blogspot.com/2013_09_01_archive.html

I am currently a student studying Business Analytics at the McCombs School of Business at The University of Texas at Austin. I blog about data science, analytics, and related topics of interest. Learn more: www.michaelwsherman.com. Saturday, September 28, 2013. Recently, I opened my mailbox and saw this:. Apparently, this is an old surveying trick. Someone I recently met who works in consumer surveying said for years you could get by with only a quarter. It's funny.my original plan was to send a bunc...

lab.datalearning.ru

Лаборатория анализа данных

http://www.lab.datalearning.ru/index.php/ru

Развитие информационного общества повлекло за собой эпоху ". Сегодня в каждом кармане найдётся мобильный телефон, на каждом столе - компьютер, в рабочих кабинетах по всему миру - большие ИТ-системы. Мир не просто завален небывалым количеством информации - это количество стало расти быстрее. Пользователи сети Интернет ежедневно генерируют колоссальные объёмы данных, с которыми приходится иметь дело крупным компаниям:. Ежедневно пользователи YouTube просматривают более 4 миллиардов видеороликов. Актуальнос...

socialcomputing.asu.edu

Social Computing Data Repository at ASU - Datasets

http://socialcomputing.asu.edu/pages/datasets

BlogCatalog is the social blog directory which manages the bloggers and their blogs. BlogCatalog is the social blog directory which manages the bloggers and their blogs. BlogCatalog is the social blog directory which manages the bloggers and their blogs. Both the contact network and selected group membership information are included. Buzznet is a photo, journal, and video-sharing social media network. Friendster is a social networking website.The service allows users to contact other members, maintai...

leitang.net

Dataset for Identifying Communities in Dynamic HeterogeneousNetworks

http://www.leitang.net/heterogeneous_network.html

Community Identification in Dynamic Heterogeneous Networks. Computer Science and Engineering. Data Mining and Machine Learning. Accordingly, heterogeneous networks can be categorized in two different types:. A multi-mode network involves heterogeneous actors. Each mode represents one type of entities. A multi-dimensional network has multiple types of interactions (relations) between the same set of users. Used in [3]. The package contains a README file that explains the dataset. And Enron email corpus.

leitang.net

Social Dimension Approach to Classification in Large-ScaleNetworks

http://www.leitang.net/social_dimension.html

Social-Dimension Approach to Classification in Large-Scale Networks. Computer Science and Engineering. Data Mining and Machine Learning. Below are some of the data sets we have used for experiments in [2] and [3]. All are in matlab format. Each data set has two variables: network and groups. "network" is a symmetric sparse matrix representing the interaction between users, and "groups" are the groups subscribed by users. We use that as the class labels in our work. Huan Liu, Lei Tang. And Huan Liu. L...

socialcomputing.asu.edu

Social Computing Data Repository at ASU - Netscrape

http://socialcomputing.asu.edu/pages/netscrape

Netscrape - Network Scraping Package. And download Netscrape (Open Virtual Machine Format - Zipped). Data Mining and Machine Learning Laboratory. School of Computing, Informatics and Decision Systems Engineering. 699 S Mill Ave., Tempe, AZ 85281 link to map.

socialcomputing.asu.edu

Social Computing Data Repository at ASU - Donate a Dataset

http://socialcomputing.asu.edu/pages/donate

Provide a short description of your data set (less than 256 characters). Provide the names, email addresses, institutions, and other contact information of the donors and creators of the data set. Does your data set contain missing values? Number of Instances (records in your data set)/Nodes:. Number of Attributes (fields within each record)/Edges:. Provide all relevant information about your data set. Provide information about each attribute in your data set. Citation Requests / Acknowledgements:.

socialcomputing.asu.edu

Social Computing Data Repository at ASU - Citation Policy

http://socialcomputing.asu.edu/pages/citation

If you publish material based on databases/software obtained from this repository, then, in your acknowledgements, please note the assistance you received by using this repository. This will help others to obtain the same data sets and replicate your experiments. We suggest the following pseudo-APA reference format for referring to this repository:. Here is a BiBTeX citation as well:. Author = "R. Zafarani and H. Liu",. Year = "2009",. Title = "Social Computing Data Repository at {ASU}",.

socialcomputing.asu.edu

Social Computing Data Repository at ASU - Twitter Dataset

http://socialcomputing.asu.edu/datasets/Twitter

Twitter is a social news website. It can be viewed as a hybrid of email, instant messaging and sms messaging all rolled into one neat and simple package. It's a new and easy way to discover the latest news related to subjects you care about. It's the file of all the users. This file works as a dictionary of all the users in this data set. It's useful for fast reference. It contains. All the node ids used in the dataset. Here is an example. This means user with id "1" is followering user with id "2".