Inference Rules

Armstrong’s axioms are the complete set of basic inference rules used to infer all the functional dependencies on the relational database. An inference rule is a type of assertion that a user can apply to a set of functional dependencies …

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Multivalued Dependency

Multivalued Dependency exists in a relation when two attributes depend on the third attribute but independent to each other. It is a full constraint between two sets of attributes in a relation. It plays a vital role in 4NF. Multivalued …

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Functional Dependencies

Functional Dependencies (FD) in the relational database management system occurs when one attribute in a relation uniquely determines other attribute in that relation. It describes the relation between the attributes. The term functional dependency was introduced by E.F Codd. It …

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DBMS Joins

Joins are the combination of related tuples from the two different relations or tables into a single type. It is similar to the Cartesian product except the fact that in Cartesian product operation, a user gets all the possible combinations …

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Hibernate get() vs. load()

Hibernate methods, get() and load() both are provided by the Session interface and used to retrieve the objects from the database. Session.get() The session.get() method is used to fetch a persistent object of the given class with the given identifier. …

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Hibernate vs. JDBC

What is Hibernate? Hibernate is an Object-Relational Mapping (ORM) tool which reduces the difficulty in the application development. Hibernate provides a framework that interacts with the data stored in the databases. It also uses the specifications of the Java Persistence …

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Hibernate vs. JPA

What is JPA? JPA stands for Java Persistence API, which defines a set of functionalities, standards, and concepts to the ORM tool. It is a framework used to manage relational databases. It is available in the javax.persistence package. JPA is …

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Probabilistic Reasoning

Probabilistic Reasoning Probabilistic Reasoning is the study of building network models which can reason under uncertainty, following the principles of probability theory. Bayesian Networks Bayesian network is a data structure which is used to represent the dependencies among variables. It …

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Dynamic Bayesian Networks

DBN is a temporary network model that is used to relate variables to each other for adjacent time steps. Each part of a Dynamic Bayesian Network can have any number of Xivariables for states representation, and evidence variables Et. A …

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Selenium Tutorial

Selenium Selenium is a functional testing tool and compatible with non –functional testing tool. Selenium is free and not required any licensing. Functional tests script executed by selenium. Selenium is combined with many automation testing tools such as Maven, Jenkins, to achieve continuous …

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PHP gettype() Function

PHP gettype() Function The gettype () function in PHP gets the type of the specified variable. Syntax

Parameter var(required)– This parameter represents the variable being type checked. Return This function returns the type of the PHP variable specified by “var” parameter. …

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PHP get_defined_vars() Function

PHP get_defined_vars() Function The get_defined_vars() function in PHP returns an array of all defined variables. It returns a multidimensional array containing a list of all defined variables. Syntax

Parameter NA Return This function returns a multidimensional array containing a …

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PHP floatval() Function

PHP floatval() Function The floatval() function in PHP is used to give the float value of a variable. Syntax

Parameter var(required)– This parameter represents the name of the variable that is to be converted. Return This function returns the …

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Kubernetes Tutorial

The topics covered in this tutorial are given below: Challenges without Container Orchestration Need for Kubernetes What exactly is & what not? How do Kubernetes works? Use-case: Kubernetes @ Pokemon Go Architecture of Kubernetes Hands-on: Deployment with Kubernetes Basic commands …

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CCNP Tutorials

CCNP stands for Cisco Certified Network Professional. It is the certification course developed by Cisco. This certification allows a user to plan, apply, endorse, and troubleshoot the different area networks and work collectively with advanced users on security, implementation, and …

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Quantifying Uncertainty

The concept of quantifying uncertainty relies on how an agent can keep away uncertainty with a degree of belief. The term uncertainty refers to that situation or information which is either unknown or imperfect. Earlier, we have seen that the …

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Classical Planning

Classical Planning is the planning where an agent takes advantage of the problem structure to construct complex plans of an action. The agent performs three tasks in classical planning: Planning: The agent plans after knowing what is the problem. Acting: …

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