Data mining

The American way of producing health is failing.

Advanced Analytics Methodologies is today's definitive guide to analytics implementation for MBA and university-level business students and sophisticated practitioners.

Using Lean Six Sigma techniques, this new case study challenges readers to analyze why a local pizza restaurant is experiencing a rapid increase in customer complaints, ranging from late delivery to poor crusts.

This new case study challenges readers to help a leading online book swap site retool its business model to overcome increased postal costs and the growing popularity of e-books.

This new business analytics case study challenges readers to project trends and plan capacity for a fast-growing craft beer operation, so it can make the best possible decisions about expensive investments in brewing capacity.

NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems.

Making Big Data Work: Real-World Use Cases and Examples, Practical Code, Detailed Solutions Large-scale data analysis is now vitally important to virtually every business.

Use state-of-the-art data analytics to optimize your evaluation and selection of corporate debt investments.

Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools Spark is at the heart of today's Big Data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks.

Get efficient in performing data mining and machine learning using IBM SPSS Modeler Key FeaturesLearn how to apply machine learning techniques in the field of data scienceUnderstand when to use different data mining techniques, how to set up different analyses, and how to interpret the resultsA step-by-step approach to improving model development and performanceBook DescriptionMachine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data.

Arguably the most capable of all the open source databases, PostgreSQL is an object-relational database management system first developed in 1977 by the University of California at Berkeley.

As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable.

As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable.

Arguably the most capable of all the open source databases, PostgreSQL is an object-relational database management system first developed in 1977 by the University of California at Berkeley.