A. C4.5 and C5.0 Algorithm:
C4.5 is the decision tree algorithm which has most widely spread usage. It is a developed version of ID3 decision tree algorithm. The C5.0 algorithm (boosting algorithm) is the successive developed state of C4.5 and it has special use for large data sets. To increase the precision and correctness of the C5.0 algorithm, the boosting algorithms are applied in it. It is more rapid and efficient as that of C4.5 and it makes use of memory in more productive way and helps to have smoother trees.
B. CART algorithm:
CART is the classification algorithm which normally uses data in both numerical and nominal form, as the input and also as predicted variables. It has a distinctive dual form which is divided into a structure.
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These rules describe the decisions that eventually lead to the prediction.
It uses ID3, C4.5 and C5.0 algorithms, which help to gain percentage accuracy in performance In banking context, Decision tress can be used for Credit card Approval and to detect and prevent Financial frauds with an increased accuracy and performance.
Financial organizations can use these approaches to make their financial services and transactions secure and less vulnerable to fraudulent activities.
K-Means Clustering
(Unsupervised) It is a distance-based algorithm based on clustering that divides the data into a pre-scheduled number of groups/clusters. Each cluster has a unique centroid. Each data element that is in a particular cluster is close to the centroid. K-mean algorithm can be used to make clusters on the basis of the geographic location or job nature or any other feature to offer services accordingly.
This helps to get increased customer retention and help to have an effective customer relationship
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By using Data mining techniques and methods, banks can be facilitated in Marketing, Risk Management, Fraud detection and prevention, and customer increased retention. The extraction of rules between different services offered by banks is therefore of great significance for the effective business strategies incorporated by banks. The paper analyses different Decision tree algorithms and k-Means algorithm in context to banking sector. It is concluded that Decision trees help to detect and prevent fraudulent activities while K-mean algorithm can be employed to get increased customer retention and help to have an effective customer relationship
Achievements this week: 1. The Fortegra files that Ross asked me to compare with Provyde litigation files were not getting appended to an Access file due to the volume of the data. This required me to export the two million records to Excel file and split them in 20 Separate individual sheets. The analysis required me to model a master spreadsheet with formulas that could automate the comparison between the two. 2.
Hash queries. To respond to H queries, C maintains a list of tuples called the H-list. The list is initially empty. When A issues a hash query for a conjunctive keyword W_i={W_1 ||
C is the matrix of classification and it is defined as follows. $C=[A_c(F_i,T_j)]$ where $A_c(F_i,T_j)$ is obtained by applying the hypothesis test described in equation ef{eq:hypothesistest}. egin{equation} label{eq:hypothesistest} A_c(F_i,T_j)= egin{cases} 1 & quad ext{if} quad A(F_i,T_j) geq lambda \ 0 & quad ext{if} quad A(F_i,T_j) < lambda \ end{cases} end{equation}. Step 2.
Branching: • We can illustrate the concept of branching with a program that adds a list of numbers. • Same operations are performed repeatedly, so the program contains a loop. • The loop body is straight-line instruction sequence. • It determines the address of next number, load value from the memory, and add to sum • Branch instruction causes repetition of body.
Discussion Post Week ten NURS 6501, N-21 Urinary tract infections (UTIs) are usually caused by bacteria and are common. Symptoms of both upper and lower infections are similar; therefore, it is important for advanced practice nurses (APNs) to be able to determine the pathophysiology of upper and lower UTIs. The purpose of this discussion is to evaluate the similarities and differences between upper and lower UTIs, clinical manifestations, treatments, and factors affecting all of these things. UTIs are infections that may occur anywhere in the urinary tract such as the urethra, bladder, ureters, and kidneys. Typically UTIs are caused by bacteria from the gut flora and are inflammation of the urinary epithelium.
klk '; The law enforcement agency I chose was the San Diego County District Attorney Office, also known as the SDCDA. The person in charge of this agency is Bonnie Dumanis, her job title is the District Attorney of the San Diego County. As the County District Attorney, she oversees approximately 310 attorneys that work in the District Attorney Office. These District Attorneys are known as Deputy District Attorneys or Prosecutors. Dumanis has been the District Attorney of the San Diego County since 2003.
We used J48 decision trees to recognize these contexts. Using features total are 63: six Average Acceleration, one Average Difference Acceleration between Devices, two Average Resultant Acceleration, 48 Bands of Frequency Power, and three Maximum Bands of Frequency Power and then three Frequency. We performed a long-term experiment to evaluate how accurately it can recognize 24 contexts and whether it can recognize these contexts when using data gathered in the past as training data. By performed a experiment over long term, we can gather data that have little affect of a learning effect because participants forget about a experiment. Therefore, we can evaluate how accurately it can recognize these contexts using themselves data without a learning effect.
CPT112 Assignment 1: User-Centred Analysis 1 Introduction Spotify is a commercial digital music streaming service that offers two subscription levels: Free and Premium. The Premium service removes ads, provides improved audio quality, and allows offline listening (Spotify Premium, 2016). The service gives you access to more than 30 million songs (Allsopp, 2016), which are available on a variety of devices (computers, smartphones, smart TVs, gaming consoles). Spotify Premium for iOS, version 5.1.0.1019, has been analysed in this report. Spotify is typically used to stream music on your smartphone or computer and has the following features: • Stream and download music on multiple devices • Search for music by artist, album, song, playlist, radio station • Discover new music and browse by genre or mood • See music charts • Listen to Spotify radio • Find playlists curated by Spotify and other users • Create your own playlists • Create your own library • Download songs to listen offline • Sync your library across all devices Spotify has partnered with other applications to provide additional features: • Find concerts for your favourite artists in your area (Songkick) • Share music with your friends (Facebook) • See lyrics for songs as you listen to them (Musixmatch) 2 Analysis Spotify is used by
Understanding networking is a fundamental part of configuring complex environments on the internet. This has implications when trying to communicate between servers efficiently, developing secure network policies, and keeping your nodes organized. Every location or device on a network must be addressable. This is simply a term that means that it can be reached by referencing its designation under a predefined system of addresses. In the normal TCP/IP model of network layering, this is handled on a few different layers, but usually, when we refer to an address on a network, we are talking about an IP address.
My last name is Short so I was given Nia tot analyze and advise. Ironically I felt as though I could relate to her most. She is a stubborn learner. " She confuses confidence with competence. "
For this particular task, I will be explaining what key components are necessary for client workstations to connect to a network and how to access network resources. I will be explaining the key features and functions of each of these components in relative detail. Network Devices: These are mechanisms used to connect computers and other electronic devices together so they can exchange and share files or special resources like printers or fax machines used in big organisations. LAN is the main type of network device used by the community.
The article, “CJ2K:The Hard Way” written by Alan Shipnuck. The article is inherently about Chris Johnson (a famous football player for the Arizona Cardinals). Starting, about his old problems with his team and children and how he got through it in a full-hearty way. Later on, it talks about how he practices countlessly and on how he always tries to score so high leading to his goal to have to make a rush for 2,000 yards (which is a gigantic goal in football). Which you can see that he is determined to do great (in football), and that he will not do arrogant things when in trouble.
Intruder Detection system It is a type of security software which is identifying the malicious activities and later on, it finds the person who is trying to do malicious activity. For example, an insubordinate employee gives all information about a customer to another company without permission which is illegal. Also, he shows his dishonesty to his company. Therefore, the intruder detection system will be able to protect the information.
According to TrackMaven, market segmentation is the process of dividing the market of potential customers into groups, or segments, based on different features. The created segment consists of consumers who will respond to the same marketing strategy and who share the nature of the same interests, needs, or locations. McDonald uses demographic segmentation as their main types of market segmentation. According to Sakshi Natani (2016), McDonald in Malaysia used mainly demographic segmentation, which divided in age, income, family-life cycle and social class.
• Geographic Segmentation Geographic segmentation is differentiation of markets by region of the country, city, country size, market density and climate. The company can use this segmentation to create a more accurate profile. Dutch Lady had made the geographic segmentation in the Urban and Suburban in Malaysia. People live in the city have more income than the people live in the countryside.