Big Data: Promises and Problems
ComputerPublished 1 March 2015Open access
Venkat N. Gudivada, Ricardo Baeza‐Yates, Vijay V. Raghavan
Citations151
SJR quartileQ2
SJR score0.55
SNIP1.02
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Despite some key problems, big data could fundamentally change scientific research methodology and how businesses develop products and provide services.
Abstract
Despite some key problems, big data could fundamentally change scientific research methodology and how businesses develop products and provide services.
Keywords
Computer ScienceDecision Sciences
IEEE Intelligent SystemsThe Unreasonable Effectiveness of Data
1,791 Citations2009Alon Halevy, Peter Norvig +1 more
A trillion-word corpus - along with other Web-derived corpora of millions, billions, or trillions of links, videos, images, tables, and user interactions - captures even very rare aspects of human behavior.
Handbook of statisticsBig Data Driven Natural Language Processing Research and Applications
40 Citations2015Venkat N. Gudivada, Dhana Rao +1 more
This chapter provides an introduction to various core NLP tasks and highlights their data-driven solutions, and describes a few representative NLP applications built using the core N LP tasks as the underlying infrastructure.
EdShare Southampton (University of Southampton)Big Data or Right Data
9 Citations2013Ricardo Baeza‐Yates
This talk explores the trade-offs involved and the main problems that come with big data using the Web as case study: scalability, redundancy, bias, noise, spam, and privacy.