Читать книгу Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms - Группа авторов - Страница 22

For a typical discussion, if anyone of the person, energy is low from any number of tasks or processes or over successive or meetings or engaging intensive concentration, his or her mental energy will be going to be decreased to the point that point the automatic system needs to take over the carry out next task. Where cognitive decision processing user interface device systems are designed and developed with algorithmic prediction, there can begin to identify policymakers’ characteristics, factors, and like benefit and appropriately target the interacting people.

The paramedical structure describes the business intelligence user community decision processing system. Data analytics is a process of monitoring, the inception of inspection, cleaning of data like imbalances, identifying skewness, external noise, transforming the data and information through online analytical process and online transaction process, and modeling data to extract useful information through supporting decision-making. Data analysis process has multiple facets and strategic approaches, encompassing diverse techniques under a variety of cubes, names, under a different business, science, and social science domains. Suppose a typical user does not have the expertise or the resources to employ dedicated information technology resources to develop reports, tools, or customization applications. He or she can take the help of software tools, and the visualization of events will help make decisions. In this respect, automatic interactive visualizations are helped on behalf of users.

One aspect of decision processing user interaction device systems is a collection of integrated embodiments of events. Those who respond to a system and collect interactive visualizations methods include receiving a selection of required data through the report processing generation system. Integrated data consists of database storage systems and their active listening interfaces are given between the source senders to the received listener. Those storage databases and respective interfacing devices invoke the necessary methods, automatically generated functional activity then accomplish the user tasks. They are easy to determine an associated visualization for the selected data based on heuristics; it is said that a set of rules is used to determine the associated visualization most appropriately for interacting decision process systems [12].

Decision processing and interacting device systems identify complex data as more accessible, understandable, and usable. These systems are used in the domains like business, organizations, and various endeavors, and massive amounts of data are being collected, processed, and stored. This trend is growing exponentially with the adoption of the internet, intranet, advancing networking technologies, powerful mobile devices, wearable devices, and the like many vast device’s interconnectivity. The world makes it into a Global village and most of the devices are connected in the Internet of Things (IoT) and through Sensor Networks. The applications of the interactive device systems are one of the sets of cognitive-behavioral and neural network-related machine learning, deep learning and type of convolutional networks, and recurrent neural networks that are running an enterprise, such as without limitation, payrolls, inventory, marketing, sales and distribution, vendor management, accounting, supply chain management, and resource planning applications (Figure 1.2) [13].

Figure 1.2 Decision processing system user interface device management as external customer [13].