Frequent sequence mining is a fundamental and essential operation in the process of discovering the sequential rules. Most of the sequence mining algorithms use apriori methodology or build the larger sequences from smaller patterns, a bottom-up approach. In this paper, we present an algorithm that uses top-down approach for mining long sequences. Our algorithm defines dominancy of the sequence...

The paper presents an analysis of operating currents and torques during self-starting motors with a voltage 6 kV for cases short circuit in the head feeders from main step-down substation to most distant substations mining enterprises. For network under consideration, characteristic modes are: on buses shop substations. industry when selfstarting asynchronous squirrel-cage rotor synchronous sta...

Graph mining is an important research area with a plethora of practical applications. Core decomposition in networks, is a fundamental operation strongly related to more complex mining tasks such as community detection, dense subgraph discovery, identification of influential nodes, network visualization, text mining, just to name a few. In this tutorial, we present in detail the concept and pro...

As a potential natural wealth, mining sectors should be managed with proper rules. Therefore, control instruments are needed in the form of business licenses to prevent negative impact management. At stage production operations, requirements that must met by businesses administrative, technical, environmental, and financial. This paper aims describe maladministration issuance license process es...

Metric databases are databases where a metric distance function is defined for pairs of database objects. In such databases, similarity queries in the form of range queries or k-nearest neighbor queries are the most important queries. In traditional query processing, single queries are issued independently by different users. In many data mining applications, however, the database is typically ...

The current paradigm in student modeling has continued to show the power of its simplifying assumption of knowledge as a binary and monotonically increasing construct, the value of which directly causes the outcome of student answers to questions. Recent efforts have focused on optimizing the prediction accuracy of responses to questions using student models. Incorporating individual student pa...

The current paradigm in student modeling, Knowledge Tracing, has continued to show the power of its simplifying assumption of knowledge as a binary and monotonically increasing construct, the value of which directly causes the outcome of student answers to questions. Recent efforts have focused on optimizing the prediction accuracy of responses to questions using student models. Incorporating i...