￥ 8,135 + ￥ 257 配送料

参考価格: ￥ 15,869
OFF: ￥ 7,734 (49%)

残り1点ご注文はお早めに在庫状況について

この商品は、thebookcommunity が販売、発送します。この出品商品にはコンビニ・ATM・ネットバンキング・電子マネー払いが利用できます。

￥ 8,135 + ￥ 257 配送料

1-Clickで注文する場合は、サインインをしてください。

この商品をお持ちですか？マーケットプレイスに出品する

裏表紙を表示表紙を表示

サンプルを聴く再生中... 一時停止 Audible オーディオエディションのサンプルをお聴きいただいています。

2点すべてのイメージを見る

Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence) (英語) ハードカバー – 2007/12/17

Lior Rokach (著), Oded Z. Maimon (著)

カスタマーレビューを書きませんか？

その他（2）の形式およびエディションを表示する他のフォーマットおよびエディションを非表示にする

価格

新品

中古品

ハードカバー

"もう一度試してください。"

￥ 8,135

ペーパーバック

"もう一度試してください。"

￥ 15,984

￥ 20,314

この商品には新版があります:

Data Mining With Decision Trees: Theory and Applications (Series in Machine Perception and Artificial Intelligence)
￥ 11,688
在庫あり。

キャンペーンおよび追加情報

【買取サービス】 Amazonアカウントを使用して簡単お申し込み。売りたいと思った時に、宅配買取もしくは出張買取を選択してご利用いただけます。今すぐチェック。

よく見られている商品

ページ: 1 / 1 最初に戻るページ: 1 / 1

このショッピング機能では、継続して項目が読み込まれます。このカルーセル外にナビゲートするには、見出しのショートカットキーを使用して、次または前の見出しに移動してください。

Martin Kl …
ペーパーバック
￥ 4,148
Walter: E …
ハードカバー
￥ 59,799
Thad Dunning
ペーパーバック
￥ 4,612
Norman Ma …

2

ペーパーバック
￥ 2,583
Graham Wi …
ペーパーバック
￥ 7,673
John D. S …
ペーパーバック
￥ 4,455

Kindle化リクエスト
このタイトルのKindle化をご希望の場合、こちらをクリックしてください。

Kindle をお持ちでない場合、こちらから購入いただけます。 Kindle 無料アプリのダウンロードはこちら。

商品の説明

内容紹介

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique.Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more efficient, cost-effective and accurate. Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and pattern recognition. This book invites readers to explore the many benefits in data mining that decision trees offer:

登録情報

ハードカバー: 244ページ
出版社: World Scientific Pub Co Inc (2007/12/17)
言語: 英語
ISBN-10: 9812771719
ISBN-13: 978-9812771711
発売日： 2007/12/17
商品パッケージの寸法: 15.3 x 1.9 x 23.6 cm
おすすめ度： この商品の最初のレビューを書き込んでください。
Amazon 売れ筋ランキング: 洋書 - 1,285,053位 (洋書の売れ筋ランキングを見る)
- 1311位 ─ 洋書 > Computers & Technology > Programming > Algorithms > Pattern Recognition
- 2084位 ─ 洋書 > Computers & Technology > Computer Science > Artificial Intelligence > Machine Learning
- 2605位 ─ 洋書 > Computers & Technology > Databases > Data Mining

さらに安い価格について知らせる
この商品を出品する場合、出品者サポートを通じて更新を提案したいですか？

目次を見る

まだカスタマーレビューはありません

この商品をレビュー

カスタマーレビューを書く

Amazon.com で最も参考になったカスタマーレビュー

Amazon.com: 2 件のカスタマーレビュー

Keith McCormick

Specialists should consider it, Practitioners should look elsewhere

2008年5月4日 - (Amazon.com)

Amazonで購入

I will recommend this to one or two colleagues, but it will not be something I will recommend to clients.

The first thing you notice about this book is its very academic style. It has numbered paragraphs like 2.0, and 7.3.1.12. It been used a graduate text, presumably for mathematicians and computer scientists. I think it would be good for that purpose. It could work quite well for statisticians that are interested in the details of data mining algorithms. It is in a series in Machine Perception and Artificial Intelligence. Other titles include "Fundamentals of Robotics", and "Bridging the Gap Between Graph Edit Distance and Kernel Machines", so don't confuse this book with something like Data Mining Techniques, which is written for a general audience. It opens the 2nd chapter with (condensed): "A training set is a bag instance of a bag schema. A bag instance is a collection of tuples that may contain duplicates." The folks that I work with can instantly divide themselves into those that would consider a book like this, and those that wouldn't. It cites references in almost every sentence, which can be distracting to the casual reader, and eventually convinced me that I need to read the original authors like Breiman. Classification and Regression Trees

So having issued a warning, there is plenty to like. The authors have made a real attempt to cover everything - I found 1/3 that I knew, 1/3 that will be quite useful to me, and 1/3 that is too much detail for me. Chapter 3 "Evaluation of Classification Trees" will be great for statisticians that wondered how to judge the efficacy of a tree that was built without hypothesis testing. Also, I was very pleased to see a chapter on "Decision Forests", which is a discussion of "ensemble methods" - in other words combining a set of tree models.

I was hoping for something that would have a detailed chapter on each of the most common decision trees algorithms with briefer sections on the obscure ones. It has all this information, but in a way that I have to work pretty hard to get to it. If you want a quick overview of data mining (even if you think that trees are the method you are going to use), try Data Mining Techniques. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management If you want to know the details, but are content to learn the details only on the well known techniques (like CHAID and CART) then Larose is a good choice. Discovering Knowledge in Data: An Introduction to Data Mining

5人のお客様がこれが役に立ったと考えています.

D. Wilson

Survey of the literature, not a standalone work

2009年4月1日 - (Amazon.com)

The important thing to know about this book before purchasing is that it does not, on the whole, stand on its own. It covers a great number of topics relating to decision trees and their use, but the coverage is primarily as a survey of the literature rather than as usage examples or algorithmic details. Most of the book takes a very qualitative look at the topics; there are few if any quantitative results to be found within.

If you're looking for a collection of organized references to important papers on the topic of decision trees and you've access to the archives of the cited journals, then this book is useful as a jumping-off point to see how the various papers relate. If you're looking for a standalone book on the topic, look elsewhere.

3人のお客様がこれが役に立ったと考えています.

Audible（オーディブル）本は「朗読」で聴こう 1か月間無料体験も	アマゾンウェブサービス（AWS）クラウドコンピューティングサービス	Amazonアウトレット訳あり商品をお手頃価格で販売	Prime Now 好きな時間が選べる。最短2時間で届く

Amazonビジネス法人・個人事業主様向けサービス	Book Depository 送料無料で世界中にお届け	Shopbop 世界中の厳選されたファッションアイテム