English

{{sellerTotalView > 1 ? __("sellers", {number: sellerTotalView}) : __("seller", {number: sellerTotalView}) }}, {{numTotalView > 1 ? __("items", {number: numTotalView}) : __("item", {number: numTotalView}) }}

View Cart & Check Out

Nickname

Let us know how to properly address you.

Update Your Name

xxxxxxx@yamibuy.com

Account Orders Favorites

Points 0

Coupons 0

Gift Card Balance $0.00

Sign Out

Change Your Zip Code

Inventory information and delivery speeds may vary for different locations.

Location History

We will notify you by email when the item back in stock.

Your email: {{remindEmail}}

Cancel

Jingdong book

SQL Server数据挖掘与商业智能基础及案例实战

View Cart & Check Out

{{buttonTypePin == 3 ? __("Scan to view more PinGo") : __("Scan to start")}}

Books Computers & Internet Database

Jingdong book

SQL Server数据挖掘与商业智能基础及案例实战

Name: SQL Server数据挖掘与商业智能基础及案例实战
Brand: Jingdong book
SKU: 3118042161
Price: 35.22 USD
Availability: OutOfStock

{{__(":people-members", {'people': item.limit_people_count})}} {{ itemCurrency }}{{ item.valid_price }} {{ itemCurrency }}{{ item.invalid_price }} {{ itemDiscount }}

Ends in

{{ itemCurrency }}{{ priceFormat(item.valid_price / item.bundle_specification) }}/{{ item.unit }}

{{ itemCurrency }}{{ item.valid_price }} {{ itemCurrency }}{{ priceFormat(item.valid_price / item.bundle_specification) }}/{{ item.unit }} {{ itemCurrency }}{{ item.invalid_price }} {{itemDiscount}}

Sale ends in

Sale will starts after Sale ends in

{{ __( "Pay with Gift Card to get sale price: :itemCurrency:price", { 'itemCurrency' : itemCurrency, 'price' : (item.giftcard_price ? priceFormat(item.giftcard_price) : '0.00') } ) }} ({{ itemCurrency }}{{ priceFormat(item.giftcard_price / item.bundle_specification) }}/{{ item.unit }}) Details

Best before

Currently unavailable.

We don't know when or if this item will be back in stock.

Unavailable in your area.

Sold Out

Details

Full product details

Content Description

本书全面介绍了数据挖掘与商业智能的基本概念与原理，包括经典理论与趋势发展，并深入叙述了各种数据挖掘的技术与典型应用。通过本书的学习，读者可以对数据挖掘与商业智能的整体结构、概念、原理、技术和发展有深入的了解和认识。本书以Microsoft SQL Server 2014（适用于2012）的数据挖掘模块进行介绍，让读者可以很快地通过书中的说明与范例，在最短的时间内就能上手。本书分为四个部分：第一部分介绍数据仓库、数据挖掘与商业智能之间的关系。第二部分对Microsoft SQL Server的整体架构进行了介绍，并详细阐述了直接与数据挖掘相关的两个服务：分析服务和报表服务。第三部分逐一阐述了Microsoft SQL Server中包含的九种数据挖掘模型。第四部分提供了四个数据挖掘的案例以及数据挖掘模型的评估，通过模仿练习，读者可获得实际的数据挖掘经验，稍加修改就能在自己所处的领域中加以应用。

Catalogue

PART I 数据仓库、数据挖掘与商业智能Chapter 1 绪论 2
1-1 商业智能 3
1-2 数据挖掘 7
Chapter 2 数据仓库 9
2-1 数据仓库定义 10
2-2 数据仓库特性 10
2-3 数据仓库架构 11
2-4 创建数据仓库的目的 12
2-5 数据仓库的运用 14
2-6 数据仓库的管理 14
Chapter 3 数据挖掘简介 16
3-1 数据挖掘的定义 17
3-2 数据挖掘的重要性 17
3-3 数据挖掘的功能 17
3-4 数据挖掘的步骤 18
3-5 数据挖掘建模的标准CRISP-DM 19
3-6 数据挖掘的应用 21
3-7 数据挖掘软件介绍 22
Chapter 4 数据挖掘的主要方法 24
4-1 回归分析 25
4-2 关联规则 27
4-3 聚类分析 27
4-4 判别分析 29
4-5 神经网络 29
4-6 决策树 31
4-7 其他分析方法 32
Chapter 5 数据挖掘与相关领域的关系 34
5-1 数据挖掘与统计分析 35
5-2 数据挖掘与数据仓库 35
5-3 数据挖掘与KDD 36
5-4 数据挖掘与OLAP 37
5-5 数据挖掘与机器学习 37
5-6 数据挖掘与Web数据挖掘 38PART II Microsoft SQL Server概述Chapter 6 Microsoft SQL Server中的商业智能 40
6-1 Microsoft SQL Server入门 41
6-2 关系数据仓库 41
6-3 SQL Server 2008 R2概述 42
6-4 SQL Server 2008 R2技术 43
6-5 SQL Server 2008 R2新增功能 45
Chapter 7 Microsoft SQL Server中的数据挖掘功能 46
7-1 创建商业智能应用程序 47
7-2 Microsoft SQL Server数据挖掘功能的优势 48
7-3 Microsoft SQL Server数据挖掘算法 50
7-4 Microsoft SQL Server可扩展性 51
7-5 Microsoft SQL Server是数据挖掘与商业智能的结合 51
7-6 使用数据挖掘可以解决的问题 52
Chapter 8 Microsoft SQL Server的分析服务（Analysis Services） 56
8-1 创建多维数据集的结构 57
8-2 建立和部署多维数据集 58
8-3 从模板创建自定义的数据库 58
8-4 统一维度模型 59
8-5 基于属性的维度 59
8-6 维度类型 60
8-7 量度组和数据视图 61
8-8 计算效率 62
8-9 MDX脚本 62
8-10 存储过程 63
8-11 关键绩效指标（KPI） 64
8-12 实时商业智能 64
Chapter 9 Microsoft SQL Server的报表服务（Reporting Services） 66
9-1 为何使用报表服务 67
9-2 报表服务的功能 67
Chapter 10 Microsoft SQL Server的整合服务 71
10-1 SSIS介绍 72
10-2 操作示例 79
Chapter 11 Microsoft SQL Server的DMX语言 100
11-1 DMX语言介绍 101
11-2 DMX函数 102
11-3 DMX语法 107
11-4 DMX操作实例 115PART III Microsoft SQL Server中的数据挖掘模型Chapter 12 决策树模型 122
12-1 基本概念 123
12-2 决策树与判别函数 123
12-3 计算方法 124
12-4 操作范例 126
Chapter 13 贝叶斯分类器 134
13-1 基本概念 135
13-2 操作范例 137
Chapter 14 关联规则 147
14-1 基本概念 148
14-2 关联规则的种类 149
14-3 关联规则的算法：Apriori算法 149
14-4 操作范例 150
Chapter 15 聚类分析 160
15-1 基本概念 161
15-2 层级聚类法与动态聚类法 161
15-3 操作范例 166
Chapter 16 时序聚类 176
16-1 基本概念 177
16-2 主要算法 177
16-3 操作示例 179
Chapter 17 线性回归模型 187
17-1 基本概念 188
17-2 一元回归模型 189
17-3 多元回归模型 192
17-4 操作范例 195
Chapter 18 逻辑回归模型 203
18-1 基本概念 204
18-2 logit变换与logistic分布 204
18-3 逻辑回归模型 206
18-4 操作范例 207
Chapter 19 人工神经网络模型 215
19-1 基本概念 216
19-2 神经网络模型的特点 217
19-3 神经网络模型的优劣比较 218
19-4 操作范例 220
Chapter 20 时序模型 228
20-1 基本概念 229
20-2 时序的构成 231
20-3 简单时序的预测 237
20-4 包含趋势与季节成份的时序预测 238
20-5 参数化的时序预测模型 240
20-6 操作范例 243PART IV Microsoft SQL Server数据挖掘应用实例Chapter 21 决策树模型实例 253
Chapter 22 逻辑回归模型实例 260
22-1 回归模型实例一 261
22-2 回归模型实例二 266
22-3 回归模型实例三 270
Chapter 23 神经网络模型实例 275
23-1 神经网络模型实例一 276
23-2 神经网络模型实例二 281
Chapter 24 时序模型实例 292
24-1 时序模型实例一 293
24-2 时序模型实例二 297
Chapter 25 如何评估数据挖掘模型 303
25-1 评估图节点介绍 Evaluation Chart Node 304
25-2 在SQL Server中如何评估模型 307
25-3 规则度量：支持度与可信度 311

Book Abstract

《SQL Server数据挖掘与商业智能基础及案例实战》：
开发数据挖掘模型的最佳人选是同时具备业务和技术技巧的人员。模型的开发人员将会从其统计背景中获益、了解企业面临的关键业务问题、对数据和关系产生极大的好奇心，同时还能够利用MicrosoftSQLServer工具处理和存储数据。现有数据仓库小组中的成员最有可能遇到这些标准。
作为数据挖掘的初学者，应在构建原型模型的同时，计划花费数周时间来研究数据、工具以及可供选择的算法。使用一台具备数据库管理权限的开发服务器。构建模型的最初阶段是探索阶段：用户可能会希望以不同的方法来重新构建数据和实验。当然，用户肯定希望从少量数据子集开始，并在开发愈加清晰的模型设计时扩展数据集。在原型阶段，不要为如何构建一个“可供生产使用”的应用程序而担心。使用DTS或执行任何所需数据处理最为舒适的工具。保存一份记录有必要转换的高级日志，但不要期望所做的一切都能成为永久应用程序的一部分。
用户应当准备两套数据：一套用于开发模型，另一套用于测试模型的精确度，从中选择适合业务问题的最佳模型。在考虑如何划分数据子集时，要确保没有引入任何偏差。例如，从十个客户中选择一个客户，或根据姓氏的第一个字符区分，或根据其他任意属性区分。
……

Specifications

Brand

Jingdong book

Brand Origin

China

Disclaimer

Product packaging, specifications and price are subject to change without notice. All information about the products on our website is provided for information purposes only. Please always read labels, warnings and directions provided with the product before use.

View Full Terms of Use

Scan to Share

Add to favorites

{{ $isZh ? coupon.coupon_name_sub : coupon.coupon_ename_sub | formatCurrency }}

Clip coupons

Quantity

{{buttonTypePin == 3 ? __("Scan to view more PinGo") : __("Scan to start")}}

Sold by JD@CHINA

Ship to

Free shipping over 69

Genuine guarantee

View details

Region

Added to Cart

Keep Shopping

More to Consider

Coupons

Clip Clipped Over

Expires soon {{ formatTime(coupon.use_end_time) }}

Share this item with friends

Cancel

Yami Gift Card

Get this exclusive deal when paying with gift card

Terms and Conditions

Gift card deals are special offers for selected products;

The gift card deals will automatically be activated if a customer uses gift card balance at check out and the balance is sufficient to pay for the total price of the shopping cart products with gift card deals;

You will not be able to activate the gift card deals if you choose other payment methods besides gift card. The products will be purchased at their normal prices;

If your account balance is not enough to pay for the products with gift card deals, you can choose to reload your gift card balance by clicking on the Reload button at either shopping cart page or check out page;

Products that have gift card deals can be recognized by a special symbol showing 'GC Deal';

For any additional questions or concerns, please contact our customer service;

Yamibuy reserves the right of final interpretation.

Sold by Yami

Service Guarantee

Free Shipping over $49

Easy Returns

Ships from United States

Shipping

United States

Standard Shipping is $5.99 (Excluding Alaska & Hawaii). Free on orders of $49 or more.

Local Express is $5.99 (Available in Parts of CA, NJ, MA & PA). Free on orders of $49 or more.

2-Day Express (Includes Alaska & Hawaii) starts at $19.99.

Return Policy

Yami is committed to provide our customers with a peace of mind when purchasing from us. Most items shipped from Yamibuy.com can be returned within 30 days of receipt of shipment (For Food, Beverages, Snacks, Dry Goods, Health supplements, Fresh Grocery and Perishables Goods, within 7 days of receipt of shipment due to damages or quality issues; To ensure that every customer receives safe and high-quality products, we do not provide refunds or returns for beauty products once they have been opened or used, except in the case of quality issues; Some products may have different policies or requirements associated with them, please see below for products under special categories, or contact Yami Customer Service for further assistance).
Thank you for your understanding and support.

Learn More

Sold by Yami

Terms and Conditions of Yami E-Gift Card

If you choose “Redeem automatically” as your delivery method, your gift card balance will be reload automatically after your order has been processed successfully;

If you choose “Send to Email”as your delivery method, the card number and CVV will be sent to the email address automatically;

Any user can use the card number and CVV to redeem the gift card, please keep your gift card information safely. If you have any trouble receiving email, please contact Yami customer service;

Yami gift card can be used to purchase both Yami owned or Marketplace products;

Yami gift card will never expire;

Yami gift card balance does not have to be used up at once;

Return Policy

Gift card that has already been consumed is non-refundable.

Sold by JD@CHINA

Fulfilled by Yami

Service Guarantee

Free Shipping over $49

Easy Returns

Ships from United States

Shipping

United States

Standard Shipping is $5.99 (Excluding Alaska & Hawaii). Free on orders of $49 or more.

Local Express is $5.99 (Available in Parts of CA, NJ, MA & PA). Free on orders of $49 or more.

2-Day Express (Includes Alaska & Hawaii) starts at $19.99.

Return Policy

You may return product within 30 days upon receiving the product. Items returned must be new in it's original packing, including the original invoice for the purchase. Customer return product at their own expense.

Sold by JD@CHINA

Yami-China FC

Service Guarantee

Cross-store Free Shipping over $69

30-days Return

Yami-China FC

Yami has a consolidation warehouse in China which collects multiple sellers’ packages and combines to one order. Our Yami consolidation warehouse will directly ship the packages to your door. Cross-store free shipping over $69.

Return Policy

You may return products within 30 days upon receiving the products. Sellers take responsibilities for any wrong shipment or missing items. Packing needs to be unopened for any other than quality issues return. We promise to pack carefully, but because goods are taking long journey to destinations, simple damages to packaging may occur. Any damages not causing internal goods quality problems are not allowed to return. If you open the package and any quality problem is found, please contact customer service within three days after receipt of goods.

Shipping Information

Yami Consolidation Service Shipping Fee $9.99(Free shipping over $69)

Sellers in China will ship their orders within 1-2 business days once the order is placed. Packages are sent to our consolidation warehouse in China and combined there. Our Yami consolidation warehouse will directly ship the packages to you via UPS. The average time for UPS to ship from China to the United States is about 10 working days and it can be traced using the tracking number. Due to the pandemic, the delivery time may be delayed by about 5 days. The package needs to be signed by the guest. If the receipt is not signed, the customer shall bear the risk of loss of the package.

Sold by JD@CHINA

Service Guarantee

Free shipping over 69

Genuine guarantee

Shipping

Yami Consolidated Shipping $9.99(Free shipping over $69)

Seller will ship the orders within 1-2 business days. The logistics time limit is expected to be 7-15 working days. In case of customs clearance, the delivery time will be extended by 3-7 days. The final receipt date is subject to the information of the postal company.

Yami Points information

All items are excluding from any promotion or points events on Yamibuy.com

Return Policy

Download the Yami App

Feedback

Back Top

Reviews{{'('+ commentList.posts_count + ')'}}

Have your say. Be the first to help other guests.

Write a review

{{i}} star

{{i}} stars

{{ parseInt(commentRatingList[i]) }}%

{{ showTranslate(comment) }}Show Less

{{ strLimit(comment,800) }}Show more

Show Original

Show All

{{ formatTime(comment.in_dtm) }} VERIFIED PURCHASE {{groupData}}

{{ comment.likes_count }} {{ comment.likes_count }} {{ comment.reply_count }} {{comment.in_user==uid ? __('Delete') : __('Report')}}

{{ showTranslate(comment) }}Show Less

{{ strLimit(comment,800) }}Show more

Show Original

Show All

{{ formatTime(comment.in_dtm) }} VERIFIED PURCHASE {{groupData}}

{{ comment.likes_count }} {{ comment.likes_count }} {{ comment.reply_count }} {{comment.in_user==uid ? __('Delete') : __('Report')}}

No related comment~

Load more reviews

Review

{{ showTranslate(commentDetails) }}Show Less

{{ strLimit(commentDetails,800) }}Show more

Show Original

Show All

{{ formatTime(commentDetails.in_dtm) }} VERIFIED PURCHASE {{groupData}}

Please write at least one word

Comments{{'(' + replyList.length + ')'}}