Página inicialGruposDiscussãoMaisZeitgeist
Pesquise No Site
Este site usa cookies para fornecer nossos serviços, melhorar o desempenho, para análises e (se não estiver conectado) para publicidade. Ao usar o LibraryThing, você reconhece que leu e entendeu nossos Termos de Serviço e Política de Privacidade . Seu uso do site e dos serviços está sujeito a essas políticas e termos.
Hide this

Resultados do Google Livros

Clique em uma foto para ir ao Google Livros

Data mining techniques for marketing, sales,…
Carregando...

Data mining techniques for marketing, sales, and customer relationship… (edição: 2004)

de Michael J. A. Berry, Gordon Linoff

MembrosResenhasPopularidadeAvaliação médiaConversas
1221173,658 (3.83)Nenhum(a)
Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis… (mais)
Membro:francishemingway
Título:Data mining techniques for marketing, sales, and customer relationship management
Autores:Michael J. A. Berry
Outros autores:Gordon Linoff
Informação:Indianapolis, Ind. : Wiley Pub., c2004.
Coleções:Sua biblioteca
Avaliação:
Etiquetas:to-read

Detalhes da Obra

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management de Michael J. A. Berry

Carregando...

Registre-se no LibraryThing tpara descobrir se gostará deste livro.

Ainda não há conversas na Discussão sobre este livro.

Anyone interested in automating and improving decisions should have this book. It is one of the classic works on data mining and well worth the read.
I really liked the book both because it is well written and because, although it drilled into a fair amount of detail about some of the techniques, it started each new section off at a high level. This allows someone without a statistical background, such as me, to read as far as I can in each section and then skip ahead to the next technique. This is a nice change from books that simply get more and more detailed as page follows page, preventing you from gaining an overview of the subject.
The book introduces data mining and a methodology for applying it, talks about some of the applications in "Marketing, Sales, and Customer Relationship Management" (as the subtitle puts it), walks through some statistical techniques and then spends the bulk of the book on various data mining techniques. It wraps up with a nice summary of how data mining plays with other technologies and with some practical advice on getting started.
One of the best summaries of where data mining fits is given early in the book where an enterprise is encouraged to:
- Notice what its customers are doing
- Remember what it and its customers have done over time
- Learn from what it has remembered
- Act on what if has learned to make customers more profitable
The authors point out that Data Mining is focused on the "Learn" stage or, as they put it data mining suggests but businesses decide.
The methodology section, and the subsequent notes that relate to applying these techniques in real life, talked about the feedback loops between steps in data mining - there is not a linear "waterfall" sequence of steps but constant iteration and learning. They also emphasized the importance of finding the right business problem at the beginning - start as someone once said, with the end in mind. This was reiterated when they quote Voltaire who said "Le mieux est l'ennemi du bien" ("The best is the enemy of good"). In other words, don't get hung up on trying to find the perfect algorithm, perfect answer. Instead build something that is good, that works, and learn and improve over time.
The authors made a big point out of the value of data mining for "mass intimacy", where you want to treat customers differently and there is a business reason to do so but where customers are too numerous to be assigned to staff. One of the issues they pointed out was that staff must be trained in customer interaction skills while also using all the data you have. The value of data mining in building a customer-centric organization cannot be overestimated. ( )
  jamet123 | Jul 10, 2009 |
sem resenhas | adicionar uma resenha

» Adicionar outros autores

Nome do autorFunçãoTipo de autorObra?Status
Michael J. A. Berryautor principaltodas as ediçõescalculado
Linoff, Gordon S.autor secundáriotodas as ediçõesconfirmado
Você deve entrar para editar os dados de Conhecimento Comum.
Para mais ajuda veja a página de ajuda do Conhecimento Compartilhado.
Título canônico
Título original
Títulos alternativos
Data da publicação original
Pessoas/Personagens
Lugares importantes
Eventos importantes
Filmes relacionados
Premiações
Epígrafe
Dedicatória
Informação do Conhecimento Comum em inglês. Edite para a localizar na sua língua.
To Stephanie, Sasha, and Nathaniel. Without your patience and understanding, this book would not have been possible. -- Michael

To Puccio. Grazie per essere paziente con me. Ti amo. -- Gordon
Primeiras palavras
Informação do Conhecimento Comum em inglês. Edite para a localizar na sua língua.
The first edition of Data Mining Techniques for Marketing, Sales, and Customer Support appeared on book shelves in 1997.
Citações
Últimas palavras
Informação do Conhecimento Comum em inglês. Edite para a localizar na sua língua.
(Clique para mostrar. Atenção: Pode conter revelações sobre o enredo.)
Aviso de desambiguação
Editores da Publicação
Autores Resenhistas (normalmente na contracapa do livro)
Idioma original
CDD/MDS canônico

Referências a esta obra em recursos externos.

Wikipédia em inglês

Nenhum(a)

Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

Não foram encontradas descrições de bibliotecas.

Descrição do livro
Resumo em haiku

Links rápidos

Capas populares

Avaliação

Média: (3.83)
0.5
1
1.5
2
2.5
3 2
3.5
4 3
4.5
5 1

É você?

Torne-se um autor do LibraryThing.

 

Sobre | Contato | LibraryThing.com | Privacidade/Termos | Ajuda/Perguntas Frequentes | Blog | Loja | APIs | TinyCat | Bibliotecas Históricas | Os primeiros revisores | Conhecimento Comum | 158,866,930 livros! | Barra superior: Sempre visível