G. Shankaranarayanan

发表

A Machine Learning Approach to Inductive Query by Examples : An Experiment Using Relevance Feedback , ID 3 , Genetic Algorithms , and Simulated Annealing

Hsinchun Chen, G. Shankaranarayanan, Linlin She, 1998 .

Managing the Quality of Marketing Data: Cost/benefit Tradeoffs and Optimal Configuration

Adir Even, Paul D. Berger, G. Shankaranarayanan, 2010 .

Research Issues in Database Schema Evolution: the Road Not Taken

S. Ram, G. Shankaranarayanan, 2003 .

SPIDEQ – A Prototype for Decision Making with Quality Metadata

G. Shankaranarayanan, B. Zhu, 2016 .

Decision Support with Data Quality Metadata

Bin Zhu, Yu Cai, G. Shankaranarayanan, 2008, ICIQ.

A Machine Learning Approach to Inductive Query by Examples: An Experiment Using Relevance Feedback, ID3, Genetic Algorithms, and Simulated Annealing

Hsinchun Chen, Ganesan Shankaranarayanan, Anand Iyer, 1998, J. Am. Soc. Inf. Sci..

A decision-analysis approach to optimize marketing information-system configurations under uncertainty

G. Shankaranarayanan, P. Berger, A. Even, 2015 .

Data and Information Quality : Research Themes and Evolving Trends Emergent Research Forum

G. Shankaranarayanan, 2015 .

Case-Based Research in Information Systems: Gaps and Trends

G. Shankaranarayanan, S. Gordon, R. Blake, 2013 .

Is bigger better? A study of the effect of group size on collective intelligence in online groups

Nada Hashmi, T. Malone, G. Shankaranarayanan, 2022, Decis. Support Syst..

Quality of Social Media Data and Implications of Social Media for Data Quality

Donna B. Stoddard, Bala Iyer, Ganesan Shankaranarayanan, 2012, MIT International Conference on Information Quality.

Data quality assessment in context: A cognitive perspective

Adir Even, Stephanie Watts, Ganesan Shankaranarayanan, 2009, Decis. Support Syst..

A Machine Learning Approach to Inductive Query by Examples: An Experiment Using Relevance Feedback, ID3, Genetic Algorithms, and Simulated Annealing

Hsinchun Chen, Ganesan Shankaranarayanan, Anand Iyer, 1998, J. Am. Soc. Inf. Sci..

Making a digital innovator: antecedents of innovativeness with digital technologies

Ganesan Shankaranarayanan, Rubén Mancha, G. Shankaranarayanan, 2020, Inf. Technol. People.

Experiential Learning of Information Systems in Functional Contexts: The Digital Brand Strategy Project

Donna B. Stoddard, Donna Stoddard, G. Shankaranarayanan, 2021, Commun. Assoc. Inf. Syst..

Managing accuracy of project data in a distributed project setting

Edward G. Anderson, Nitindra R. Joglekar, G. Shankaranarayanan, 2010, ICIQ.

Process Coordination Requirements: Implications for the Design of Knowledge Management Systems

George M. Wyner, Bala Iyer, G. Shankaranarayanan, 2006, J. Comput. Inf. Syst..

Profit Maximization with Data Management Systems

Adir Even, Ganesan Shankaranarayanan, Paul D. Berger, 2005, ICIS.

Supporting data quality management in decision-making

Yu Cai, G. Shankaranarayanan, G. Shankaranarayanan, 2006, Decis. Support Syst..

Sensor Data and Managing Data Quality in Sensory Network Applications

Mark Gaynor, Ganesan Shankaranarayanan, G. Shankaranarayanan, 2004, AMCIS.

A Data Quality Assurance Model in the B2B Networked Environment

Yu Cai, Ganesan Shankaranarayanan, G. Shankaranarayanan, 2004, AMCIS.

The metadata enigma

Adir Even, Ganesan Shankaranarayanan, G. Shankaranarayanan, 2006, CACM.

Utility-driven assessment of data quality

Adir Even, Ganesan Shankaranarayanan, G. Shankaranarayanan, 2007, DATB.

IP-MAP: Representing the Manufacture of an Information Product

Richard Y. Wang, Ganesan Shankaranarayanan, Mostapha Ziad, 2000, IQ.

Modeling and navigation of large information spaces: a semantics based approach

Sudha Ram, G. Shankaranarayanan, S. Ram, 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

Architecture for Dynamic Schema Evolution in Heterogeneous Database Environments : A Prototype System and Its Evaluation Working paper # 2003-10

G. Shankaranarayanan, 2003 .

Inequality in the utility of customer data: Implications for data management and usage

Adir Even, Ganesan Shankaranarayanan, Paul D. Berger, 2010 .

Managing Metadata in Data Warehouses: Pitfalls and Possibilities

Adir Even, Ganesan Shankaranarayanan, G. Shankaranarayanan, 2004, Commun. Assoc. Inf. Syst..

IPMAP : Current State and Perspectives Research-in-progress

G. Shankaranarayanan, G. Shankaranarayanan, 2007 .

MANAGING CHANGES TO SCHEMA OF DATA SOURCES IN A DATA WAREHOUSE

G. Shankaranarayanan, G. Shankaranarayanan, 2001 .

The Role of Case-Based Research in Information Technology and Systems

Roger Blake, Steven R. Gordon, Ganesan Shankaranarayanan, 2013 .

Educating an Innovative Workforce for the Digital Economy

Ruben Mancha, G. Shankaranarayanan, G. Shankaranarayanan, 2017, AMCIS.

An intelligent pre-hospital patient care system

Mark Gaynor, Dan Myung, Ganesan Shankaranarayanan, 2007, Int. J. Electron. Heal..

Enhancing decision-making with data quality metadata

G. Shankaranarayanan, Bin Zhu, G. Shankaranarayanan, 2021, J. Syst. Inf. Technol..

Managing Metadata in Data Warehouses: Pitfalls and Possibilities

G. Shankaranarayanan, A. Even, 2004, Commun. Assoc. Inf. Syst..

Optimizing Data Management with Disparities in Data Value

Adir Even, Ganesan Shankaranarayanan, Paul D. Berger, 2015, Journal of International Technology and Information Management.

From Content to Context

Roger Blake, G. Shankaranarayanan, G. Shankaranarayanan, 2017, ACM J. Data Inf. Qual..

Data and Information Quality: Research Themes and Evolving Patterns

Roger Blake, Ganesan Shankaranarayanan, G. Shankaranarayanan, 2015, AMCIS.

A decision-analysis approach to optimize marketing information-system configurations under uncertainty

G. Shankaranarayanan, P. Berger, A. Even, 2015, Journal of Marketing Analytics.

Utility-driven configuration of data quality in data repositories

Adir Even, Ganesan Shankaranarayanan, G. Shankaranarayanan, 2007, Int. J. Inf. Qual..

Data-Warehouse as a Dynamic Capability: Utility/Cost Foundations and Implications for Economically-Driven Design

Adir Even, Ganesan Shankaranarayanan, G. Shankaranarayanan, 2006, ICIS.

Discovering Data and Information Quality Research Insights Gained through Latent Semantic Analysis

Roger Blake, Ganesan Shankaranarayanan, G. Shankaranarayanan, 2012, Int. J. Bus. Intell. Res..

Blockchain adoption in the supply chain – a game theoretic perspective: the case of the diamond industry

Donna B. Stoddard, G. Shankaranarayanan, S. Gordon, 2023, Journal of Information Technology Case and Application Research.