What is Feature Selection and it’s techniques

Suppose there is a real-life problem as to put a nail on a wall, so what are the steps to complete the process of putting that nail, we need a nail and a hammer so this selection of attribute according to the problem is the same thing in the Feature selection in machine learning. The reduction of the problem depends on the selection of the variables included in the process, and thus the feature selection plays an essential role in the creation of a model of a problem. This article covers some of the following topics: Introduction Techniques of Features Selection Advantage and use of feature selection Introduction of Feature selection In machine learning Feature selection is a process of selecting the essential and useful variables for the particular problem model and feature selection is the process where the complexity and the performance of the model will be decided, as if the features or not appropriately selected, then model will be complicated, slower and bulky and thus performance will be decreased. The feature selection compares and selects the best features that are relevant to the associated problem and removes the unwanted features according to the comparison to the other useful…

What is Web Analytics in Big Data Analytics?
Big Data , Technology & Science / April 15, 2018

Today, the web users surf many different websites regularly in the course of their daily lives. The usability and conversion rate of a website reflect the kind of experience the web users have on the website. The success of a website rides on the usability and conversion rate of the website. The higher the usability and conversion rate of the website, the better the website is functioning. Web analytics consists of a series of metrics and techniques which are used by webmasters to gauge their website’s usability and conversion rate. What is web analytics? Web analytics is the measurement, collection, analysis, presentation and interpretation of information about visitors of web sites for the purpose of their improvement and optimization. The main task of web analytics is to monitor traffic of the website, on the basis of which the web audience is determined and the behavior of web visitors is studied in order to make decisions on the development and increasing of the functionality of a web resource. Web analytics is the measurement and analysis of data to inform an understanding of user behavior across web pages. Analytics platforms measure activity and behavior on a website, for example: how many users…

Social Media Analytics and How Social Media Analytics Works

In the decade since social networking was born, we have seen the power of platforms that unite humanity. Across our professional and personal lives, social platforms have truly changed the world. Social media has been the tool to ignite revolutions and elections, deliver real-time news, connect people and interests, and of course, drive commerce. Social media plays a significant role in today‘s networked society. It has affected the online interaction between users, whom shares a lot of personal details and information online. Dynamic nature of social media data is a significant challenge for continuously and speedily evolving social media sites. Social media is growing rapidly and it offers something for everyone. Overview of Social Media Analytics Social Media Analytics is an on-demand offering that integrates, archives, analyzes and reports on the effects of online conversations occurring across professional, consumer-generated and social network media sites. As a result of the intelligence gleaned from this process, organizations can understand the effects online conversations are having on specific aspects of their business operations. Social media analytics (SMA) refers to the approach of collecting data from social media sites and blogs and evaluating that data to make business decisions. This process goes beyond the…

What is Blockchain Technology And How It Is Useful For Us

Blockchain is being termed as the fifth disruptive innovation in computing. Blockchain technology or the distributed, secure ledger technology has gained much attention in recent years. This article presents blockchain technology literature and its applications. A very significant plus of the blockchain technology is that it solves two of the most dreaded problems of currency based transactions, which have so long necessitated the requirement of a third party to validate the transactions. Blockchain Overview Blockchain technology is a sophisticated, interesting, and emerging technology. It provides a reliable way of confirming the party submitting a record to the blockchain, the time and date of its submission, and the contents of the record at the time of submission, eliminating the need for third-party intermediaries in certain situations. However, it is important to consider that blockchain technology does not verify or address the reliability or the accuracy of the contents, and additionally blockchain technology provides no storage for records, but instead the hashes thereof A blockchain is an electronic ledger of digital records, events, or transactions that are cryptographically hashed, authenticated, and maintained through a “distributed” or “shared” network of participants using a group consensus protocol. Much like a checkbook is a ledger…

What is Plagiarism Detection
Big Data , Technology & Science , Web Security / February 15, 2018

Plagiarism is the reuse of someone else’s prior ideas, processes, results, or words without explicitly acknowledging the original author and source. In modern years, plagiarism has raised great concern over knowledgeable property protection. Plagiarists violate knowledgeable property rights either by copying source/binary code or by stealing and covertly implementing protected algorithms. The first case is also known as software plagiarism. Plagiarism involves reproducing the existing information in modified format or sometimes the original document as it is. This is quiet common among students, researchers and academicians. This has made some strong influence on research community and awareness among academic peoples to prevent such a kind of misuse. in this presented article Plagiarism Detection is explained. Overview of Plagiarism Detection A word may have several possible meanings and senses due to the richness of natural languages, which make detecting plagiarism a hard task especially when dealing with semantic meaning, not just searching for patterns of text that are illegally copied from others (copy and paste texts from digital resources without acknowledging the original resource), Plagiarism occurs in various forms: submitting another’s work exactly same without proper citation, paraphrasing text, reordering the sentences, using synonyms, or changing grammar, code plagiarism etc. Plagiarism is…

Multi Agent System in Artificial Intelligence

Multi-agent systems are made up of multiple interacting intelligent agents—computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. What is Multi-agent system? In artificial intelligence research, agent-based systems technology has been hailed as a new paradigm for conceptualizing, designing, and implementing software systems. Agents are sophisticated computer programs that act autonomously on behalf of their users, across open and distributed environments, to solve a growing number of complex problems. Increasingly, however, applications require multiple agents that can work together. A multi-agent system (MULTI-AGENT SYSTEM) is a loosely coupled network of software agents that interact to solve problems that are beyond the individual capacities or knowledge of each problem solver. Multi-agent system can be define by the following definition: “A multi-agent system is a loosely coupled network of problem-solving entities (agents) that work together to find answers to problems that are beyond the individual capabilities or knowledge of each…

Install Hadoop in Stand-Alone Mode on Ubuntu 16.04
Big Data , Technology & Science / January 24, 2018

Hadoop is a framework written in Java for running applications on large clusters of commodity hardware and incorporates features comparable to those of the Google File System (GFS) and of the MapReduce computing paradigm. Hadoop’s HDFS is a highly fault-tolerant distributed file system and, like Hadoop in general, designed to be deployed on low-cost hardware. It provides high throughput access to application data and is suitable for applications that have large data sets. Hadoop was sponsored by Apache Software Foundation. It is a Cluster data Management Project (CDMP). Hadoop is a Java-based framework which manages the large data sets among the group of cluster machines. It is very hard to configure the Cluster with Hadoop. But we can also install Hadoop on a single machine to perform some basic operations. Hadoop may appear single software but it has a lot of components following it. Hadoop Common: We can say this as a big library which consists of utilities and libraries to support other Hadoop modules. HDFS: The Hadoop Distributed File system is responsible storing the data on the hard disk. YARN: YARN is the open source distributed processing framework and it stands for Yet Another Resource Negotiator. MapReduce: Map reduce…

An Introduction of Big Data Analytics
Big Data , Technology & Science / January 18, 2018

In digital world, data are generated from various sources and the fast transition from digital technologies has led to growth of big data. It provides evolutionary breakthroughs in many fields with collection of large datasets A huge repository of terabytes of data is generated each day from modern information systems and digital technologies such as Internet of Things and cloud computing. Analysis of these massive data requires a lot of efforts at multiple levels to extract knowledge for decision making. Therefore Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions. Overview of Big Data Analytics The concept of big data has been around for years; most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get important value from it. But even in the 1950s, decades before anyone expressed the term “big data,” businesses were using basic analytics (essentially numbers in a spreadsheet that were manually examined) to uncover insights and trends. Artificial…

How Business Analytics Works

Every business is dynamic in nature and is affected by various external and internal factors. These factors include external market conditions, competitors, internal restructuring and re-alignment, operational optimization and paradigm shifts in the business itself. New regulations and restrictions, in combination with the above factors, contribute to the constant evolutionary nature of compelling, business-critical information; the kind of information that an organization needs to sustain and thrive. Business Intelligence (“BI”) is broad term that encapsulates the process of gathering information pertaining to a business and the market. What is Business Analytics? Business intelligence (BI) has two basic different meanings related to the use of the term intelligence. The primary, less frequently, is the human intelligence capacity applied in business affairs/activities. Intelligence of Business is a new field of the investigation of the application of human cognitive faculties and artificial intelligence technologies to the management and decision support in different business problems. The second relates to the intelligence as information valued for its currency and relevance. It is expert information, knowledge and technologies efficient in the management of organizational and individual business. Therefore, in this sense, business intelligence is a broad category of applications and technologies for gathering, providing access to,…

Introduction of Reinforcement Learning

The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays, waves its arms, or looks about, it has no explicit teacher, but it does have a direct sensorimotor connection to its environment. Reinforcement learning is a computational approach to understanding and automating goal-directed learning and decision-making. It is distinguished from other computational approaches by its emphasis on learning. it is done by an agent from direct interaction with its environment. without relying on exemplary supervision or complete models of the environment. Overview of Reinforcement Learning Reinforcement learning is learning what to do–how to map situations to actions–so as to maximize a numerical reward signal. The learner is not told which actions to take, as in most forms of machine learning, but instead must discover which actions yield the most reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward but also the next situation and, through that, all subsequent rewards. These two characteristics–trial-and-error search and delayed reward–are the two most important distinguishing features of reinforcement learning.  Reinforcement Learning is a type…

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