As data intensive applications evolve, many research projects involving Big Data require efficient extraction and analysis of specific data subsets, rather than the whole dataset. Social media data analysis is one such example. While social media platforms provide tremendous data about all kinds of social activities, most research analyses focus on specific social events along the lines of presidential elections or protests. In order to support the requirements of such research use cases, the storage platform needs to provide not only a scalable solution for the overall large dataset, but also mechanisms for efficiently querying the target subsets and applying post-query analyses. This paper introduces IndexedHBase, a storage platform speci...
© 2018 Tsinghua University Press. Social media has more than three billion users sharing events, com...
Social media data provides valuable information about different events, trends and happenings around...
Big data is a term for massive data sets having large, more varied and complex structure with the di...
Abstract. The intensive research activity in analysis of social media and micro-blogging data in rec...
Abstract — Social media data analysis demonstrates two special characteristics in Big Data processin...
The advent of Web 2.0 technologies which supports the creation and publishing of various social medi...
Data warehouse, OLAP technology and distributed analysis show great potential in improving business ...
As data sets keep growing, computational linguists are experiencing more big data problems: challeng...
Social Networking Sites (SNS) are ubiquitous within modern society, forming communications networks ...
Social media (e.g., Twitter) now become a popular information channel for general users to create an...
Communication is a key factor in today’s human life, due to time constraints physical interaction be...
Social media are used by more and more people. It influences how people communicate, how they gather...
A growing body of research in the area of information systems for crisis management is based on data...
<p>Social media data is a high-profile resource across academic disciplines, in areas as diverse as ...
A growing body of research in the area of information systems for crisis management is based on data...
© 2018 Tsinghua University Press. Social media has more than three billion users sharing events, com...
Social media data provides valuable information about different events, trends and happenings around...
Big data is a term for massive data sets having large, more varied and complex structure with the di...
Abstract. The intensive research activity in analysis of social media and micro-blogging data in rec...
Abstract — Social media data analysis demonstrates two special characteristics in Big Data processin...
The advent of Web 2.0 technologies which supports the creation and publishing of various social medi...
Data warehouse, OLAP technology and distributed analysis show great potential in improving business ...
As data sets keep growing, computational linguists are experiencing more big data problems: challeng...
Social Networking Sites (SNS) are ubiquitous within modern society, forming communications networks ...
Social media (e.g., Twitter) now become a popular information channel for general users to create an...
Communication is a key factor in today’s human life, due to time constraints physical interaction be...
Social media are used by more and more people. It influences how people communicate, how they gather...
A growing body of research in the area of information systems for crisis management is based on data...
<p>Social media data is a high-profile resource across academic disciplines, in areas as diverse as ...
A growing body of research in the area of information systems for crisis management is based on data...
© 2018 Tsinghua University Press. Social media has more than three billion users sharing events, com...
Social media data provides valuable information about different events, trends and happenings around...
Big data is a term for massive data sets having large, more varied and complex structure with the di...