Extracting Top-K Insights from Multi-dimensional Data Bo Tangy Shi Hanz Man Lung Yiuy Rui Dingz Dongmei Zhangz yThe Hong Kong Polytechnic University, Kowloon, Hong Kong zMicrosoft Research, Beijing, China y{csbtang,csmlyiu}@comp.polyu.edu.hk z{shihan,juding,dongmeiz}@microsoft.com ABSTRACT OLAP tools have been extensively used by enterprises to make bet-, 2/3/2017 · Extracting Top-K Insights from Multi-dimensional Data. OLAP tools have been extensively used by enterprises to make better and faster decisions. Nevertheless, they require users to specify group-by attributes and know precisely what they are looking for.
Nevertheless, they require users to specify group-by attributes and know precisely what they are looking for. This paper takes the first attempt towards automatically extracting top-k insights from multi-dimensional data. This is useful not only for non-expert users, but.
This paper takes the first attempt towards automatically extracting top-k insights from multi-dimensional data . This is useful not only for non-expert users, but also reduces the manual effort of …
Project: Extracting Top-K Insights from Multi-dimensional Data 1. Project Description OLAP tools have been extensively used by enterprises to make better and faster decisions. Nevertheless, they require users to specify group-by attributes and know precisely what they are looking for.
Project: Extracting Top-K Insights from Multi-dimensional Data 1. Project Description OLAP tools have been extensively used by enterprises to make better and faster decisions. Nevertheless, they require users to specify group-by attributes and know precisely what they are looking for.
2017 ACM SIGMOD International Conference on Management of Data , SIGMOD 2017, Chicago, Illinois, USA, 14-19 May 20172016-2017 > Academic research: refereed > Refereed conference paperbcw Publisher: ‘Association for Computing Machinery (ACM)’, Download PDF: Sorry, we are unable to provide the full text but you may find it at the following location(s): http://hdl.handle.net/10397/71… (external link), 3/4/2019 · Extracting Top-K Insights from Multi-dimensional Data . Agency plus Automation: Designing Artificial Intelligence into Interactive Systems The Landscape of R Packages for Automated Exploratory Data .
5/31/2014 · This paper takes the first attempt towards automatically extracting top-k insights from multi-dimensional data . Expand
