The Beliscity Blog

Predictive analytics is the branch of data mining concerned with forecasting future probabilities and trends. The central element of predictive analytics is the predictor, a variable that can be measured for an individual or other entity to predict future behavior. For example, an insurance company is likely to take into account potential driving safety predictors such as age, gender, and driving record when issuing car insurance policies.

Multiple predictors are combined into a predictive model. In predictive modeling, data is collected, a statistical model is formulated, predictions are made and the model is validated (or
revised) as additional data becomes available. Information yielded from analysis of that model can be used to forecast future probabilities with an acceptable level of reliability.

Predictive analytics are applied to many research areas, including meteorology, security, genetics, economics and marketing.

A tablespace is a logical group of data files in a database.  A database typically contains at least one tablespace. Within the database, the tablespace plays a role similar to that of a folder on the hard drive of a computer.

Some database programs, such as Oracle, automatically create a tablespace called SYSTEM that contains general information about the structure and contents of the database. A small database can be entirely contained in the SYSTEM tablespace, but in most cases, user data is placed in other tablespaces.

The files in a tablespace usually share a common characteristic. For example, a database for a wholesale distributor might consist of tablespaces entitled ACCOUNTING, ORDERS, SHIPPING, SERVICE, and SYSTEM. Each tablespace might contain only one data file, or thousands of files, or anything in between. Tablespaces can be created, deleted, and merged, just as can the folders on the hard drive of a computer.

Predictive analytics is the branch of data mining concerned with forecasting future probabilities and trends. The central element of predictive analytics is the predictor, a variable that can be measured for an individual or other entity to predict future behavior. For example, an insurance company is likely to take into account potential driving safety predictors such as age, gender, and driving record when issuing car insurance policies.

Multiple predictors are combined into a predictive model. In predictive modeling, data is collected, a statistical model is formulated, predictions are made and the model is validated (or
revised) as additional data becomes available. Information yielded from analysis of that model can be used to forecast future probabilities with an acceptable level of reliability.

Predictive analytics are applied to many research areas, including meteorology, security, genetics, economics and marketing.