TY  - BOOK
AU  - Provost,Foster
AU  - Fawcett,Tom
TI  - Data science for business: [what you need to know about data mining and data-analytic thinking] 
SN  - 1449361323 (pbk.)
PY  - 2013///
CY  - Sebastopol, Calif.
PB  - O'Reilly
KW  - Data mining
KW  - Big data
KW  - Information science
KW  - Business
KW  - Data processing
N1  - Subtitle from cover; Includes bibliographical references (p. 359-366) and index; Introduction : data-analytic thinking -- Business problems and data science solutions -- Introduction to predictive modeling : from correlation to supervised segmentation -- Fitting a model to data -- Overfitting and its avoidance -- Similarity, neighbors, and clusters -- Decision analytic thinking I : what is a good model? -- Visualizing model performance -- Evidence and probabilities -- Representing and mining text -- Decision analytic thinking II : toward analytical engineering -- Other data science tasks and techniques -- Data science and business strategy -- Conclusion
ER  -