Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Finance
Reexamination Certificate
2011-06-28
2011-06-28
Apple, Kirsten S (Department: 3694)
Data processing: financial, business practice, management, or co
Automated electrical financial or business practice or...
Finance
C705S313000
Reexamination Certificate
active
07970674
ABSTRACT:
A facility procuring information about a distinguished property from its owner that is usable to refine an automatic valuation of the distinguished property is described. The facility displays information about the distinguished property used in the automatic valuation of the distinguished property. The facility obtains user input from the owner adjusting at least one aspect of information about the distinguished property used in the automatic valuation of the distinguished property. The facility then displays to the owner a refined valuation of the distinguished property that is based on the adjustment of the obtained user input.
REFERENCES:
patent: 5361201 (1994-11-01), Jost et al.
patent: 6178406 (2001-01-01), Cheetham et al.
patent: 6240425 (2001-05-01), Naughton
patent: 6609118 (2003-08-01), Khedkar et al.
patent: 6915206 (2005-07-01), Sasajima
patent: 7289965 (2007-10-01), Bradley et al.
patent: 7461265 (2008-12-01), Ellmore
patent: 7487114 (2009-02-01), Florance et al.
patent: 7567262 (2009-07-01), Clemens et al.
patent: 2003/0212565 (2003-11-01), Badali et al.
patent: 2004/0073508 (2004-04-01), Foster et al.
patent: 2005/0108084 (2005-05-01), Ramamoorti et al.
patent: 2005/0154657 (2005-07-01), Kim et al.
patent: 2007/0124235 (2007-05-01), Chakraborty et al.
patent: 2007/0185727 (2007-08-01), Ma et al.
patent: 2007/0185906 (2007-08-01), Humphries et al.
patent: 2008/0077458 (2008-03-01), Andersen et al.
patent: 2009/0043637 (2009-02-01), Eder
Vladimir Svetnik et al, Random Forest: A Classification and Regression Tool for compound Classification and QSAR Modleing. J. Chem Info. Computer Science, 2003, vol. 43, pp. 1947-1958.
U.S. Appl. No. 11/927,623, filed Oct. 29, 2007, Humphries et al.
U.S. Appl. No. 11/971,758, filed Jan. 9, 2008, Humphries et al.
Quinlan, Ross J., “C4.5: Programs for Machine Learning,” Machine Learning, 1993, 302 pages, Morgan Kaufmann Publishers, San Francisco, CA, USA.
Mobasher, B. “Classification Via Decision Trees in WEKA,” DePaul University, Computer Science, Telecommunications, and Information Systems, ECT 584-Web Data Mining, 2005, http://maya.cs.depaul.edu/˜classes/Ect584/WEKA/classify.html, 5 pages [internet accessed on Dec. 6, 2007].
Bennett, Kristin P., “Support Vector Machines: Hype or Hallelujah?” SIGKDD Explorations, Dec. 2000, pp. 1-12, vol. 2, issue 2, ACM SIGKDD.
Hill, T. and Lewicki, P., “K-Nearest Neighbors,” Statistics Methods and Applications, 2007, http://www.statsoft.com/textbook/stknn.html, [internet accessed on [Dec. 6, 2007].
Breiman, L., “Random Forests,” Machine Learning, 45, pp. 5-32, 2001, Kluwer Academic Publishers, The Netherlands.
http://www.ics.uci.edu/˜mlearn/databases/housing/housing.names, 1 page [accessed Dec. 13, 2005].
StatSoft, Inc., “Classification Trees,” http://www.statsoft.com/textbook/stclatre.html, pp. 1-20, © 1984-2003 [accessed Dec. 13, 2005].
Breiman et al., “Random Forest,” Classification Description, http://www.stat.berkeley.edu/users/breiman/RandomForests/cc—home.htm, pp. 1-28 [accessed Dec. 13, 2005].
Real-info.com, “What is an AVM,” www.real-info.com/products—avm.asp? Internet Archive Date: Oct. 30, 2005, 5 pages [accessed Mar. 21, 2007].
RealEstateABC.com, see paragraph headed “How do I make the estimate more accurate?” www.realestateabc.com/home-values/, Internet Archive Dated: Apr. 5, 2006, 4 pages [accessed Mar. 20, 2007].
Standard & Poors, “Guidelines for the use of Automated Valuation Models for U.K. RMBS Transactions,” http://www.rics.org/NR/rdonlyres/8Fcdd20c-7FAC-4549-86FB-3930CD0CBC05/0/StandardandPoorsReportonAVMs.pdf, Published Feb. 20, 2004, 4 pages.
www.r-project.org, “The R Project for Statistical Computing,” http://web.archive.org/web/20060102073515/www.r-project.org/main.shtml, 1 page [internet archive date: Jan. 2, 2006].
“Centre for Mathematical Sciences,” Lund University, http://web.archive.org/web/20060101005103/http://www.maths.Ith.se/, 1 page [internet archive date: Jan. 1, 2006].
“An Introduction to R,” http://web.archive.org/web/20060118050840/http://cran.r-project.org/doc/manuals/R-intro.html, pp. 1-105 [intemet archive date: Jan. 18, 2006].
www.cran.r-project.org, “The Comprehensive R Archive Network,” http://web.archive.org/web/20050830073913/cran.r-project.org/banner.shtml, pp. 1-2 [internet archive date: Aug. 30, 2005].
Non-Final Office Action for U.S. Appl. No. 11/524,048, Mail Date Apr. 29, 2009, 10 pages.
Non-Final Office Action for U.S. Appl. No. 11/524,047, Mail Date Oct. 28, 2009, 12 pages.
Final Office Action for U.S. Appl. No. 11/524,048, Mail Date Dec. 8, 2009, 12 pages.
Non-Final Office Action for U.S. Appl. No. 11/927,623, Mail Date Dec. 28, 2010, 22 pages.
Non-Final Office Action for U.S. Appl. No. 11/347,000, Mail Date Apr. 9, 2010, 29 pages.
Tay et al., “Artificial Intelligence and the Mass Appraisal of Residential Apartments,” Journal of Property Valuation and Investment, Feb. 1, 1992, 17 pages.
Meyer, Robert T., “The Learning of Multiattribute Judgment Policies,” The Journal of Consumer Research, vol. 14, No. 2, Sep. 1987, pp. 155-173.
Non-Final Office Action for U.S. Appl. No. 11/347,000, Mail Date Oct. 27, 2010, 25 pages.
Burstein Jonathan
Cheng David
Chung Kyusik
Humphries Stan
Xiang Dong
Apple Kirsten S
Basit Abdul
Perkins Coie LLP
Zillow, Inc.
LandOfFree
Automatically determining a current value for a real estate... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Automatically determining a current value for a real estate..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automatically determining a current value for a real estate... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2736713