《数据挖掘概念与技术》学习笔记第4章(4/10)数据挖掘原语、语言和系统结构

语法归纳
1说明任务相关的数据
<Data_Mining_Statement>::=
use database <database_name>| use data warehouse <data_warehouse_name>
use hierarchy< hierarchy_name> for<attribute_or_dimension>}
<Mine_Knowledge_sepcification>
in relevance to < attribute_or_dimension _list>
from
<relations(s)/cubes(s)>
[where <condition>]
[order by <order_list>]
[group by <group _list>]
[having <condition>]
{with [<interest_measure_name>]} threshold=< threshold _value>
[for <attribugte(s)>]}
例
use database AllGames_db
in relevance to I.name, I.price, C.income, C.age
from
Customer C, item I, purchases P, items_sold S
where I.item_ID=S.item_ID and
S.trans_ID=P. .trans_ID and .cust_ID=C.
cust_ID and C.country=”Cananda”
group by P.date


2特征化
<Mine_Knowledge_Specification>::=
mine characeristics [as <pattern_name>>]
analyze<neasure(s)>
例
mine characterestics as customerPurchasing
analyze count%

3区分
<Mine_Knowledge_Specification>::=
mine comparisom [as <pattern_name>]
for<,target_class> where <target_conditon>
{versus<contrast_class_i> where <contrast_condition_i>}
analyze<neasure(s)>
例
mine comparison as purchaseGroups
for
bigSpenders where avg(I.price)>=
$100
versus budgetSpenders where avg(I.price)<$100
analyze count

4关联
<Mine_Knowledge_Specification>::=
mine association [as <pattern_name>]
[matching <metapattern>]
例
mine associations as buyingHabits
matching P(X: customers, W)^Q(X,Y)=>buys(X,Z)

5分类
<Mine_Knowledge_Specification>::=
mine classification [as <pattern_name>]
analyze <classifying_attribute_or_dimension>
例
mine classification as classifyCustomerCreditRating
analyze credit_rating