没有合适的资源?快使用搜索试试~ 我知道了~
首页IBM spss modeler 18 算法指南 (英文)
资源详情
资源评论
资源推荐
i
IBM SPSS Modeler 18.0 Algorithms
Guide
Note: Before using this information and the product it supports, read the general information
under “Notices” on p. 403.
This edition applies to IBM SPSS Modeler 18 and to all subsequent releases and modifications
until otherwise indicated in new editions.
Adobe product screenshot(s) reprinted with permission from Adobe Systems Incorporated.
Microsoft product screenshot(s) reprinted with permission from Microsoft Corporation.
Licensed Materials - Property of IBM
© Copyright IBM Corporation 1994, 2016.
U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP
Schedule Contract with IBM Corp.
Preface
IBM® SPSS® Modeler is the IBM Corp. enterprise-strength data mining workbench. SPSS
Modeler helps organizations to improve customer and citizen relationships through an in-depth
understanding of data. Organizations use the insight gained from SPSS Modeler to retain
profitable customers, identify cross-selling opportunities, attract new customers, detect fraud,
reduce risk, and improve government service delivery.
SPSS Modeler’s visual interface invites users to apply their specific business expertise, which
leads to more powerful predictive models and shortens time-to-solution. SPSS Modeler offers
many modeling techniques, such as prediction, classification, segmentation, and association
detection algorithms. Once models are created, IBM® SPSS® Modeler Solution Publisher
enables their delivery enterprise-wide to decision makers or to a database.
About IBM Business Analytics
IBM Business Analytics software delivers complete, consistent and accurate information that
decision-makers trust to improve business performance. A comprehensive portfolio of business
intelligence, predictive analytics, financial performance and strategy management, and analytic
applications provides clear, immediate and actionable insights into current performance and the
ability to predict future outcomes. Combined with rich industry solutions, proven practices and
professional services, organizations of every size can drive the highest productivity, confidently
automate decisions and deliver better results.
As part of this portfolio, IBM SPSS Predictive Analytics software helps organizations predict
future events and proactively act upon that insight to drive better business outcomes. Commercial,
government and academic customers worldwide rely on IBM SPSS technology as a competitive
advantage in attracting, retaining and growing customers, while reducing fraud and mitigating
risk. By incorporating IBM SPSS softwar e into their daily operations, organizations become
predictive enterprises – able to direct and automate decisions to meet business goals and achieve
measurable competitive advantage. For further information or to reach a representative visit
http://www.ibm.com/spss.
Technical support
Technical support is available to maintenance customers. Customers may contact Technical
Support for assistance in using IBM Corp. products or for installation help for one of the
supported hardware environments. To reach Technical Support, see the IBM Corp. web site
at http://www.ibm.com/support. Be prepared to identify yourself, your organization, and your
support agreement when requesting assistance.
© Copyright IBM Corporation 1994, 2016.
iii
Contents
Adjusted Propensities Algorithms 1
Model-DependentMethod...................................................... 1
GeneralPurposeMethod....................................................... 1
Anomaly Detection Algorithm 3
Overview................................................................... 3
Primary Calcu
lations........................................................... 3
Notation ................................................................ 3
AlgorithmSteps .......................................................... 4
BlankHandling ........................................................... 7
GeneratedModel/Scoring ...................................................... 7
PredictedValues.......................................................... 7
BlankHandling ........................................................... 7
Apriori Algorithms 9
Overview................................................................... 9
DerivingRules ............................................................... 9
FrequentItemsets......................................................... 9
GeneratingRules..........................................................10
BlankHandling ...........................................................11
EffectofOptions ..........................................................11
GeneratedModel/Scoring ......................................................12
PredictedValues..........................................................12
Confidence..............................................................12
BlankHandling ...........................................................12
Automated Data Preparation Algorithms 13
Notation ...................................................................13
Date/TimeHandling ...........................................................14
UnivariateStatisticsCollection ..................................................15
BasicVariableScreening.......................................................17
Checkpoint1:Exit? ...........................................................17
© Copyright IBM Corporation 1994, 2016.
v
剩余889页未读,继续阅读
gudaguda
- 粉丝: 5
- 资源: 7
上传资源 快速赚钱
- 我的内容管理 收起
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
会员权益专享
最新资源
- c++校园超市商品信息管理系统课程设计说明书(含源代码) (2).pdf
- 建筑供配电系统相关课件.pptx
- 企业管理规章制度及管理模式.doc
- vb打开摄像头.doc
- 云计算-可信计算中认证协议改进方案.pdf
- [详细完整版]单片机编程4.ppt
- c语言常用算法.pdf
- c++经典程序代码大全.pdf
- 单片机数字时钟资料.doc
- 11项目管理前沿1.0.pptx
- 基于ssm的“魅力”繁峙宣传网站的设计与实现论文.doc
- 智慧交通综合解决方案.pptx
- 建筑防潮设计-PowerPointPresentati.pptx
- SPC统计过程控制程序.pptx
- SPC统计方法基础知识.pptx
- MW全能培训汽轮机调节保安系统PPT教学课件.pptx
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功
评论2