db.cs.ntou.edu.tw

db.creditinfolatvija.lv

Credit Risk Management System

SIA "Creditinfo Latvija Cçsu iela 31 5k3 LV-1012 Rîga. Tel: 371 673 717 80 Fax: 371 673 717 81 www.creditinfoschufa.lv.

db.cs-lords.ru

Index of /

Apache Server at db.cs-lords.ru Port 80.

db.cs.berkeley.edu

Berkeley Database Research

UC BERKELEY DATABASE GROUP. Berkeley has helped lead database systems research for over a quarter century. As data has become increasingly central to computing and society, our group's charter and collaborations have expanded. Our research covers new challenges in data management as well as data-centric approaches to diverse areas including distributed systems, programming languages, statistical computation, human computing and interaction, and technology for developing regions.

db.cs.cmu.edu

Carnegie Mellon Database Group

The Database Group at Carnegie Mellon University is a leading research collective that focuses on database systems, data mining, and machine learning. We participate in a number of cross-disciplinary research efforts, and closely collaborate with other groups at CMU. Algorithms for coupled sparse and low-rank tensor factorization. Fraud and Spam Detection. Algorithms to detect suspicious behavior in large datasets. Database system architectures for non-volatile memory (NVM). News and Upcoming Events.

db.cs.hit.edu.cn

哈尔滨工业大学大学生创业训练基地

Page 1 of 1. How to Start a Startup 是 Stanford 大学推出的一门课程。 课程主讲人 Sam Altman 是 Y Combinator 孵化团队的联合创始人之一。 课程目前可以通过 iTunes U 和 YouTube 下载或者在线观看。 Page 1 of 1. Proudly published with Ghost.

db.cs.ntou.edu.tw

NTOU 》資料庫實驗室

db.cs.pitt.edu

Advanced Data Management Technologies Laboratory | User-centric data management for network-centric applications

Advanced Data Management Technologies Laboratory. User-centric data management for network-centric applications. Welcome to the ADMT Lab website. The Advanced Data Management Technologies Laboratory at the University of Pittsburgh is co-directed by Panos K. Chrysanthis. News] Congratulations to Nick R. Katsipoulakis for passing his proposal defense! Posted December 22nd, 2017 by xiaoyu. News] Congratulations to Prof. Panos K. Chrysanthis on his first three generation journal paper! Congratulations to Ana...

db.cs.vsb.cz

Home Page - DBRG

Data structures, Query processing, XML, . 708 33, Ostrava-Poruba. Email: michal.kratky@vsb.cz. Welcome on web pages of Database Research Group at Department of Computer Science, Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, Czech Republic. The DBRG research activities relate mostly to applications in Information Retrieval (in the broad meaning). We deal with the following particular areas:. Data Indexing And Storage. Multimedia and Multidimensional Databases.

db.cs.washington.edu

Home

Data management systems, cloud services, probabilistic databases, and data pricing in Computer Science and Engineering. At the University of Washington. July 19, 2017. Our automated solver for SQL, Cosette, has been released. June 8, 2017. Congratulations to all of our SIGMOD winners. May 19, 2017. From the SIGMOD BeyondMR workshop. On LaraDB: A Minimalist Kernel for Linear and Relational Algbera. May 18, 2017. Several SIGMOD 2017 Demonstation Awards! Brandon Haynes and Artem Minyaylov. An Automated SQL ...

db.cs.yale.edu

Yale Database Group

Database Research At Yale. A hybrid of DBMS and MapReduce technologies targeting analytical query workloads. Designed to run on a shared-nothing cluster of commodity machines, or in the cloud. An attempt to fill the gap in the market for a free and open source parallel DBMS. Much more scalable than currently available parallel database systems and DBMS/MapReduce hybrid systems. As scalable as Hadoop, while achieving superior performance on structured data analysis workloads. That won "Best Paper" at VLDB.

db.csail.mit.edu

MIT Database Group

The database group at MIT conducts research on all areas of database systems and information management. Projects range from the design of new user interfaces and query languages to low-level query execution issues, ranging from design of new systems for database analytics and main memory databases to query processing in next generation pervasive and ubiquitous environments, such as sensor networks, wide area information systems, personal databases, and the Web. In the Big Data ISTC. We are building a sy...