Along with exploiting past price patterns, ever since the early 1980s the researchers' attention is drawn on the usefulness of company financial statements in predicting stock market returns. We argue on the necessity to develop a framework that would enable investors to support their everyday ...
Finding look-alikes using predictive modelling is a sophisticated technique used in marketing to find prospects that "look like" your existing best customers. By analysing the attributes and behaviours of your best customers, you can identify and target new prospects who share these characteristics. ...
While the holy grail would be to measure user activity within 48 hours and accurately correlate that with long-term LTV, getting there can’t be achieved without access to large amounts of data. A substantial user behavior database can allow predictive modelling to identify patterns and cut was...
For the latter of these, the CNN model is recommended by the present research. The evolving nature of these algorithms coupled with the increasing complexity of financial markets suggests a continuing need for innovation and adaptation of modelling techniques for effective stock market forecasting....
A new analytical approach for simplified thermal modelling of buildings: Self-Adjusting RC-network model. Energy Build. 2016, 130, 85–97. [Google Scholar] Ji, Y.; Xu, P.; Duan, P.; Lu, X. Estimating hourly cooling load in commercial buildings using a thermal network model and ...
Very nice information given in this article, but it would be great if you can also provide the information on how to start the career in predictive analytics/modelling and what is the minimum knowledge required (like: Probablity..etc) before starting this as carreer or (for any certification...
Forecasting demand with predictive analytics is an essential part of the business, informing strategic decisions for the sales, marketing, manufacturing, and financial departments allowing for deep insights on market share and the business. Basic steps in the predictive analytics process The predictive ...
The Power Energy System (PES) is created in step 1 for modelling purposes which highlights the power supply chain from energy sources to electricity end-users. Nigeria's available energy sources such as diesel, hydro, wind, solar, nuclear, natural gas, etc., are used in different technologies...
Representation of the workshop modelling The agent-based approach allows for modeling the system as a population of individual objects (agents or active entities) that communicate with each other and follow a series of rules to achieve their specific objectives. Communication is pr...
Ideally, I would like to have a filter/button/something connected to the multi action where an end user can select a specific market filter in the story frame, this market filter is then applied to the predictive scenario when the multi action is pressed (the multi action trains the ...