KNOWLEDGE DISCOVERY CUP (KDD-CUP-98)
 
                     Registration Brochure

Name of software/product/tool/research prototype:_____________________ 

Name of vendor/institution:___________________________________________

KDD-CUP program committee will only announce the names of the top 3
performing tools. However, we intend to make the list of participants
publicly available based on the box checked below. Please check the
appropriate box:

     (_) List my tool's name as a participant 
     (_) Do not list my tool's name as a participant. I wish to stay
         anonymous.

Status of software/product/tool/research prototype:

     (_) Alpha (_) Beta (_) Production

Release date of software/product/tool/research prototype (in YYMM or
year/month format):___________________________________________________
 
Platform availability (check all that apply): 

     (_) PC (_) UNIX (_) Mainframe (_) Parallel (SMP/MPP) (_) Other
                                 
Systems architecture (check all that apply): 

     (_) Client/Server (_) PC client only (_) UNIX Client only 
     (_) PC/UNIX server only

Built-in knowledge discovery and data mining methodology/technology
(check all that apply):

     (_) Graphical User Interface (GUI)
     (_) Data Access to RDBMSs
     (_) Data Management (data processing, SQL, merge, summarize, 
         aggregate, sorting, ranking, etc.)
     (_) Data Selection (random sampling, Nth selection, etc.)
     (_) Data Preprocessing (missing value/outlier treatment, symbol 
         mapping, binning/discretization, normalization, etc.)
     (_) Exploratory Data Analysis (descriptive statistics, data/
         knowledge visualization, etc.)
     (_) Collinearity Screening/Redundancy Elimination
     (_) Variable Subset Selection  
     (_) Link Analysis (Associations, Sequences, etc.)
     (_) Clustering or Segmentation (K-means, Kohonen clustering, etc.) 
     (_) Time Series Analysis
     (_) Classification or Discrimination (for categorical/symbolic 
         targets)
     (_) Prediction or Regression (for continuous/numeric targets)
     (_) Multiple Learned or Combined Models (boosting, arching, 
         bagging, etc.)
     (_) Data Postprocessing (model deployment/scoring, modeling 
         project manager, model performance tracking, link to 
         business process etc.) 
     (_) Other, specify:______________________________________________

Data mining algorithms (check all that apply and specify the 
algorithm(s) in the space provided): 

     (_) Supervised Neural Networks (MLP, RBF, etc.):_________________
     (_) Statistical Methods (Logistic, OLS, MARS, PPR, GAM, Nearest 
         Neighbors, etc.):____________________________________________
     (_) Decision Trees and Rules (ID3, C4.5, CHAID, CART, 
         etc.):_______________________________________________________
     (_) Hybrid Systems (Neuro-fuzzy systems, GA optimized neural/ 
         decision tree systems, etc.):________________________________
     (_) Case-Based Reasoning
     (_) Other Supervised Methods (Bayesian methods, decision tables, 
         etc.):_______________________________________________________ 
     (_) Unsupervised Algorithms (Kohonen networks, K-means 
         clustering, SOM, etc.):______________________________________
     (_) Associations and Sequence Discovery:_________________________
     (_) Other, specify: _____________________________________________

Note: The numbers requested below will only be used to compute
      participant summary statistics and do not serve any other 
      purpose.

Is your software/product/tool/research prototype: 

     A freeware: (_) Yes (_) No
     Commercially available for purchase: (_) Yes (_) No
         If 'yes' to above, Price (in US$):___________________________ 
     Number of sites installed:_______________________________________ 

Other relevant information:___________________________________________

PRIMARY CONTACT: 

Name..........................:
E-mail Address................:
Phone Number..................:
FAX Number....................:
Title.........................:
Name of Company/Institution...:
			      
Mailing Address...............:

			      
SECONDARY CONTACT: 	      
			      
Name..........................:
E-mail Address................:
Phone Number..................:
Title.........................:
Name of Company/Institution...:

Mailing Address...............: