·
"Synthetic Tabular Data:
A Better Alternative To Complementary Data Suppression - Original Manuscript
Dated December 2001", Ramesh A. Dandekar, Manuscript Energy Information
Administration, U. S. Department of Energy. Also available from CENEX-SDC
Project International Conference, PSD2006, Rome, Italy, December 13-15, 2006,
Companion CD Proceedings ISBN: 84-690-2100-1.
·
"Synthetic Tabular Data: An Alternative To
Complementary Cell Suppression", Ramesh A. Dandekar and Lawrence H. Cox
(2002), Manuscript,
Energy Information Administration, U. S. Department of Energy. PRESENTATION SLIDES Prepared for Washington Statistical Society
Technical Seminar Program on October 15, 2002. Slides 34 to 36 and
41 to 43 demonstrate the statistical compatibility of the plus/minus
heuristic-based CTA data with the original data in terms of mean, standard
deviation and correlation coefficient.
·
"Cost Effective
Implementation of Synthetic Tabulation ( a.k.a. Controlled Tabular Adjustments)
in Legacy and New Statistical Data Publication Systems" Ramesh A. Dandekar
(2003) , UNECE Work Session on Statistical Data Confidentiality
(Luxembourg, 7-9 April, 2003) PRESENTATION SLIDES.
·
"Sensitive Micro Data
Protection Using Latin Hypercube Sampling Technique" Ramesh A. Dandekar
(2002) Inference Control in Statistical Databases, LNCS 2316, pp.
117-125 2002, Springer-Verlag Berlin PRESENTATION
SLIDES.
·
"Multivariate Controlled Tabular Adjustments For SDL
of Sensitive Data Using Latin Hypercube Sampling" Ramesh A. Dandekar
(2003) JSM2003, Summer Conference, San Francisco, California PRESENTATION SLIDES.
·
"Maximum Utility-Minimum
Information Loss Table Server Design for Statistical Disclosure Control of
Tabular Data", Ramesh A. Dandekar, June 9-11, 2004, Barcelona,
Spain. PRESENTATION
SLIDES. Related LOG-LINEAR analysis and 3-D
sectional data from Eight Dimensional CPS Counts Data.
·
"Complementary
Cell Suppression Software Tools for Statistical Disclosure Control - Reality
Check" Ramesh A. Dandekar (2005) , Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality
(Geneva, Switzerland, 9-11 November, 2005) PRESENTATION SLIDES.
·
“Comparative
Evaluation of Four Different Sensitive Tabular Data Protection Methods Using a
Real Life Table Structure”, Ramesh A. Dandekar (2007). PRESENTATION SLIDES. Prepared Speech Detailed output from Two 3_D Linked Tables and Related
4-D Table Comparison.
·
Abstract(2002) of
the forthcoming paper "Stepwise
Shrinking Hypercubes to Develop a Complementary Cell
Suppression Pattern in Data Bases Containing an Extremely Large Number of
Sensitive Cells", Ramesh A. Dandekar
·
Huge
Tabular Data Test Cases available from Prof. Jordi Castro and
Prof.
JJ Salazar / CASC websites: Forty
Dimensional Tabular Data 4million plus non-zero cells/10 million plus relations
Tabular Data six million plus non-zero cells/twenty two million plus
relations Tabular Data Tabular Data Specifications File For Sensitivity
Analysis: 6^10 Tabular Structure Populated with 250 Micro Data Records 500 Micro Data Records 1,000 Micro Data Records 5, 000 Micro Data Records SUMMARY CTA
SOLUTIONS using Dandekar2001 plus/minus
heuristic.
·
“How to
Prevent Perturbation Procedures from Becoming Data Falsification
Procedures” , available from PSD2008,
Istanbul, Turkey, September 2008, Companion CD Proceedings ISBN: 978-84-691-5385-7.
Related 72 Pages of Test Output PRESENTATION SLIDES.
·
"Statistical
Disclosure Control Of Tabular Format Magnitude Data - Why It Is Not A Good Idea To Use Home Grown Cell
Suppression Procedures", Presented At FCSM2009 Conference.
·
"Incorporating Quality
Measures in Tabular Data Protected by Perturbation Methods", Presented at FCSM2009 Conference.
·
Output (3128 pages) to evaluate the effectiveness of CTA
in protecting 7-D tabular format census counts data in its entirety. The synthetic micro data used for this evaluation
is from technical paper wp.31 presented at UNECE2009 conference.
·
"(In)Effectiveness
of Independent Rounding of Discrete Tabular Data as Statistical Disclosure
Control Strategy", JSM2010 conference presentation
slides.
· Abstract(2011)
of the forthcoming paper," Applicability
of Basic Separability Principles To Enhance the Operational Efficiency of
Synthetic Tabular Data Generation Procedures in Multi Dimensional Table
Structures"