Wisteria: Nurturing Scalable Data Cleaning Infrastructure Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Eugene Wu †∗ UC Berkeley † Columbia University {dhaas,sanjay,jnwang,franklin}@cs.berkeley.e

Source URL: sampleclean.org

• Data analysis
• Scientific method
• Cleaning
• Data management
• Recommender system
• Data mining
• Latency
• Data cleansing
• Crowdsourcing
• User interface
• Database

Using a Social Media Platform to Explore How Social Media Can Enhance Primary and Secondary Learning http://opinion.berkeley.edu/learning Sanjay Krishnan, UC Berkeley

Source URL: linc.mit.edu

Quality, Incentives and Inspection Regimes in Offshore Service Production: Theory & Evidence Krishnan S. Anand • Ravi Aron The Wharton School of the University of Pennsylvania The Marshall School of Business, Universi

Source URL: ebusiness.mit.edu

Kerberos-Based Authentication for OpenStack Cloud Infrastructure as a Service Sazzad Masud and Ram Krishnan∗ University of Texas at San Antonio , Abstract

Source URL: isyou.info

STRUCTURING MULTINATIONAL INSURANCE PROGRAMMES ISSUES FOR RISK AND INSURANCE MANAGERS TO CONSIDER WHEN INSURING PROFESSIONAL INDEMNITY RISKS ACROSS BORDERS Suresh Krishnan, Grant Cairns, Richard Bates and Joanie Ko June

Source URL: www.acegroup.com

Time Series Forecasting of Cloud Data Center Workloads for Dynamic Resource Provisioning Carlos Vazquez, Ram Krishnan∗, and Eugene John The University of Texas at San Antonio One UTSA Circle, San Antonio, TX 78249, USA

Source URL: isyou.info

Clear and Present Data: Opaque Traffic and its Security Implications for the Future Andrew M. White∗ , Srinivas Krishnan∗ , Michael Bailey† , Fabian Monrose∗ , Phillip Porras‡ ∗ University of North Carolina a

Source URL: cs.unc.edu

NATIONAL INSTITUTE OF SCIENCE COMMUNICATION AND INFORMATION RESOURCES, Dr. K. S. Krishnan Marg, Near Pusa Gate New Delhi – India) 14, Satsang Vihar Marg, New DelhiAdvt. No.1/XR&A

Source URL: www.niscair.res.in

Social Influence Bias in Recommender Systems: A Methodology for Learning, Analyzing, and Mitigating Bias in Ratings Sanjay Krishnan, Jay Patel, Michael J. Franklin, Ken Goldberg Department of Electrical Engineering and C

Source URL: goldberg.berkeley.edu

• Recommender systems
• Psychometrics
• Behavioural sciences
• Psychology
• Behavior
• Cognitive biases
• G factor
• Collaborative filtering
• Social psychology
• Median
• Rating scale
• Bias

Toppling Analysis of the Echo Cliff Precariously Balanced Rock by Swetha Veeraraghavan, Kenneth W. Hudnut, and Swaminathan Krishnan Abstract Ground motion required to topple a precariously balanced rock can provide const

Source URL: krishnan.caltech.edu

• Rotational symmetry
• Physics
• Computational science
• Rigid body
• Equations of motion
• Constraint algorithm
• Nature