Java Data Mining Concepts - Java Data Mining: Strategy, Standard, and Practice - page 132

of data mining attribute type, attribute usage type , and data preparation
type to indicate how these attributes should be interpreted in data
mining operations. Table 7-2 lists the logical data specification details
for the CUSTOMERS dataset shown in Table 7-1.
The attribute type indicates the attribute data characteristics, such
as whether the attribute should be treated as numerical , categorical , or
ordinal . Numerical attributes are those whose values should be treated
as continuous numbers. Categorical attributes are those where attribute

Table 7-2 Customers Table logical data specification

Attribute
type

Usage
type Attribute name Logical name Preparation

CUST_ID Customer Id Inactive

NAME Name Inactive

ADDRESS Address Inactive

CITY City Categorical Active Prepared

COUNTY County Categorical Active Prepared

STATE State Categorical Active Prepared

EDU Education Categorical Active Prepared

MAR_STATUS Marital Status Categorical Active Prepared

OCCU Occupation Categorical Active Prepared

INCOME Annual Income Level Numerical Active Not prepared

ETHNIC_GRP Ethnic Group Categorical Active Prepared

AGE Age Numerical Active Not prepared

CAP_GAIN Capital Gains Numerical Active Not prepared

SAV_BALANCE Avg. Savings Balance Numerical Active Not prepared

CHECK_BALANCE Avg. Checking Balance Numerical Active Not prepared

RETIRE_BALANCE Retirement Balance Numerical Active Not prepared

MORTGAGE_AMOUNT Home Loan Balance Numerical Active Not prepared

NAT_COUNTRY Native Country Categorical Active Prepared

CREDIT_RISK Credit Risk Ordinal Active Prepared

ATTRITE Attrite Target