Data Mining Practical Machine Learning Tools and Techniques 3rd Edition

Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.

Activiti in Action

Activiti is an open source Business Processing Model and Notation (BPMN) 2.0 process engine framework that provides an environment for running your business and technical processes. It’s a project funded by Alfresco and established by jBPM founder Tom Baeyens. Activiti provides much more functionality than simply running BPMN 2.0 processes in a rock-solid way. It provides a web-based modeling tool for business analysts, an Eclipse plug-in for developers, and a web application to work with and manage the processes. In addition, Activiti community members, including SpringSource, FuseSource, MuleSoft, and camunda, have implemented further functionality like full Spring integration, an OSGi bundle, Mule and Camel integration, and a CDI module.

Data Mining: Practical Machine Learning Tools and Techniques

数据挖掘：实用机器学习工具和技术，第三版 a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. 664 pages Morgan Kaufmann; 3 edition (January 20, 2011)

head_first_design_patterns.pdf

一本简明扼要，通俗易懂的介绍设计模式的好书。

AppFuse Primer

AppFusePrimer Sample document. 很好的appfuse教材

ROSE培训教材中文简版

这是一份比较好的ROSE培训教材，有利于大家更好的建模。