- Last Updated on Tuesday, 22 January 2019 15:05
Big data
Introduction
Big data is a common term and its availability results in structured progress for an organization. Big data refers to a big volume of data that can not be analyzed by a person or a simple program while analyzing these data with sufficient accuracy will result in better decision making and organized business activities such as selling rate of a product, advertisement, campaigns, and variety of events and also, cost and risk reduction at notable extent. While big data is always changing and growing daily, methods and techniques for analyzing it are also developing as well. Nowadays, Big data analysis is as important as the internet. Simply put, information generated with high velocity, in different variations, in big volume that results in costs and risks reduction and on the other hand, needs special method and strategy to extract needed and targeted data from it is referred to as Big data.
Big data properties are referred to as "V" and known as 3V or 5V
Current members (A-Z)
Projects
Presentations
- Generative Adversarial Networks (GANs), Mahsa Khorasani, 2018-01-31
- داده های عظیم, Sima Naderi, 2017-04-19
- پرسش و پاسخ معنایی, Mahsa Khorasani, 2016-05-18
- یکپارچه سازی داده های عظیم, Fatemeh Mirahmadi, 2015-11-25
- پردازش داده های عظیم معنایی, Shokoufeh Ghalibafan, 2015-11-04
- استخراج اطلاعات و دانش از حجم عظیم دادههای RDF با ارسال پرس وجوهای SPARQL, Shokoufeh Ghalibafan, 2015-07-27
- موتورهای جستجوی معنایی و داده های عظیم, Maryam Khodabakhsh, 2015-05-06
- نظرکاوی و داده های عظیم, Fatemeh Pourgholamali, 2015-04-29
- BigData Tools, Seyed Mohamad Razavi, 2015-04-15
- ارزيابی قابليت استفاده مجدد مجموعه تست‌ها دارای قضاوت‌های چندسطحی, Maryam Khodabakhsh, 2014-11-12
Theses
Papers
Conferences
Journals
Useful links
| Name | Description | |
|---|---|---|
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Web Intelligence Laboratory |