What is Predictive Analytics? Predictive analytics is the branch of the advanced analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future. It uses a number of data mining, predictive modeling and analytical techniques to bring together the management, information technology, and modeling business process to make predictions about future. The patterns found in historical and transactional data can be used to identify risks and opportunities for future. [...]
Predictive modeling is the process of creating, testing and validating a model to best predict the probability of an outcome. A number of modeling methods from machine learning, artificial intelligence, and statistics are available in predictive analytics software solutions for this task. The model is chosen on the basis of testing, validation and evaluation using the detection theory to guess the probability of an outcome in a given set amount of input data. Models can use one or more classifiers in trying to determine the probability of a set of data belonging to another set. The different models available on the Modeling portfolio of predictive [...]
Actian Analytics Platform provide users faster and deeper insight and reduce analytic workloads and enable business users to maximize the value of historical data and make more informed business decisions. Actian Vector makes performance so fast, you can get into production quickly without the need for OLAP cubes, schemas and complex builds of aggregations.
Actian Analytics Platform run complex queries against billions of records in just seconds, deploy BI projects faster without risky, complex and costly data warehouse projects and use half the cores, experience one-quarter the cost, and twice the performance of [...]
RapidMiner : RapidMiner provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics and is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application development. RapidMiner supports all steps of the data mining process including results visualization, validation and optimization.RapidMiner uses a client/server model with the server offered as Software as a Service or on cloud infrastructures. RapidMiner provides data mining and machine learning procedures including: data loading and transformation, data preprocessing and [...]
KNIME: KNIME, the Konstanz Information Miner, is an open source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept and provides a graphical user interface allows assembly of nodes for data preprocessing, for modeling and data analysis and visualization.
KNIME Analytics Platform provides over 1000 data analytic routines, either natively or through R and Weka, for such topics as Univariate and Multivariate Statistics, Data Mining,Time Series, Image Processing, Web Analytics, Text Mining, Network Analysis [...]