July 2014
Beginner to intermediate
456 pages
11h 26m
Japanese
Content preview from 戦略的データサイエンス入門 ―ビジネスに活かすコンセプトとテクニック
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
328
12 章 その他のデータサイエンスの問題と技法
ビール
)
であり、
67%
となります。
12.1.3
Facebook
のいいね！におけるアソシエーション
アソシエーションを見つけることはマーケット・バスケットのデータでよく使用され、
マーケット・バスケット分析とさえ呼ばれていますが、この技法はもっと一般的に使えま
す。
9
章の
Facebook
の「いいね！」の例を使って説明してみましょう。
Facebook
の大き
な集合で「いいね！」のデータを持っていることを思い出してください［
Kosinski, Stillwell,
& Graepel 2013
］。買い物かごのデータの場合と同様に、各ユーザが自分の好みの情報を集
めた、いいね！の「かご」を持っていると考えることができます。ここで、特定のいいね！
が偶然に発生するよりも高い頻度で共起する傾向があると言えるか、考えてみましょう。こ
こでは、この面白い例を単純にアソシエーションの発見過程を説明するために使用するつも
りですが、その過程は実際には、ビジネスへの重要な応用例にもなるでしょう。例えば、特
定の市場の顧客を理解したいマーケターの方々にとっては、人々がいいね！をするパターン
には興味があるでしょう。データ分析の観点で見ている方々にとっては、この章でいままで
に説明した考え方をここでも適用して、共起が発生していて、しかも、偶然から予測される
よりも高頻度になっているのは何かを知りたいと考えているでしょう。
データマイニングをする前に、アソシエーションを発見するために便利な考え方をもう ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.