The Four Major Types Of Essays

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Professional Essay Writing Service

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Professional Essay Writing Service

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Professional Essay Writing Service

Professional Essay Writing Service The excellent news is that you simply don’t need to search excessive and low for a reputable author to do your order, as a result of writing firm employs the cream of the crop of online writers. Each of our writers has a minimum of one diploma from a prestigious institution along with their impeccable English and writing expertise. No plagiarism policy is a tenet for all writers - so you get an unique papers solely. Refunds and revisions assure is also provided. We recruit solely the best writers and specialists in a given subject to make sure that completed papers meet the best standards and deserve high grades. This is why checking the credibility of the online service of your selection is a step you should never omit. We are right here that can assist you with your academic assignments. Get top quality papers for actually affordable worth. We have zero tolerance coverage in direction of plagiarism and each customized essay written by our essay writers is scanned via turnitin and checked by our high quality division. Our narrative essay writers provide you hundreds of narrative essay matters to pick from. Over the years of operation, we now have received 1000's of calls for pressing essay writing assist from college students all all over the world. Some wanted essays in a matter of hours or days, some hoped to get them instantly. Time limits are of excessive importance to our customers, particularly for those with urgent deadlines. Many discovered it difficult to trust an unknown paper writing service. In reality, the net is filled with fraudulent companies that are not worthy of your trust, time and money. To keep away from a bad expertise, we advise you to examine writing corporations for safety guarantees. The firm extended to 50+ writers, added 13 new services and 6 subject fields. In the next 4 years, these numbers increased threefold. A group of formidable Aussie writers founded a company to assist students achieve their tutorial objectives. For instance, perhaps you know nothing about cognitive psychology however you have to work on such topic. Through detailed analysis and clear writing, the author delivers an essay that serves as educational content material. There’s no reason to really feel shame or guilt about doing the same thing. It’s a private decision that’s no person’s enterprise. Perhaps unsurprisingly, free assist comes at an excellent prize â€" expulsion and a spam-filled e mail box. Hiring an online essay author may be simple to do, however not just anybody can do the job the way you want them to. An essay writer online who knows the ins and outs of your tutorial self-discipline is ready to assist. Those trade plagiarized papers for clicks and e mail addresses. It's our pricing policy and the huge expertise within the educational writing enterprise. We've been delivering original papers to college students since 2008 and know every little thing about the process. As to the pricing policy, we have chosen a business mannequin of low prices to be affordable. What you get at the end appears something like ‘A+’. It shall be within the secure palms of skilled school essay writers for pay. If the theme of the task is too advanced, the writer will allow you to perceive it. Her writing excellence, outstanding work discipline, and 0 tolerance for plagiarism have made her certainly one of our longest working writers with a proven quality record. Together, these expertise give our authors a possibility to provide prime-notch writing services to each buyer, whatever the tutorial stage, topic or deadline. We pride ourselves on being a full service writing firm. It signifies that we will assist you on any stage of your academic process. There is no order that's too big or too advanced for us. We’re confident we now have the mandatory tools and abilities for delivering top quality written assignments every time you order from us.

Data Mining In Banking Sector Finance Essay - Free Essay Example

Data mining defines the nontrivial extraction of hidden, previously unknown, and theoretically useful information from data. It is the facts of extracting valuable information from large databases. Banks have several and vast databases. The important business information can be extracted from these data stores. The main application areas of data mining in banking are Customer Relationship Management, Marketing, Risk Management, Data cleansing, Fraud Detection, Software Support, and Present Industry Status. Data mining tools are used by leading banks for customer segmentation and profitability, forecasting payment default, credit scoring and approval, detecting fraudulent transactions, etc. The study of private and public banks has been done to appraise the feasibility of implementation of techniques of data mining. The fundamental aim of this paper is to check the feasibility of implementation of the techniques in banking sector in India. It highlights the perspective applications of data mining to increase the performance of some of the core business processes in banking sector. INTRODUCTION: Data Mining is the process of extracting knowledge hidden from large volumes of raw data. The knowledge must be new, not clear, and one must be able to use it. Data mining has been defined as the nontrivial extraction of implicit, previously unknown, and possibly useful information from data. It is the knowledge of extracting useful information from large databases. Data mining is one of the tasks in the process of knowledge discovery from the database. Data mining applications has two primary components namely Data manager and Data mining tools/algorithms. Data mining techniques can be classified as artificial neural networks, genetic algorithms, nearest neighbour method, decision trees and rule induction. Data Mining In Banking Sector: The computerization of financial operations connectivity through World Wide Web and the support of computerized softwares has completely changed the basic concept of business and the way the business operations are being carried out. The banking sector is not exclusion to it. It has also observed a tremendous change in the way the banking operations are carried out. Since 1990s the entire model of banking has been moved to online transactions, centralized databases, online transactions and ATMs all over the world, which has accomplish banking system technically robust and more customer oriented. In the present day environment, the large amount of electronic data is being preserved by banks around the globe. The enormous size of these data bases makes it impossible for the organizations to analyse these data bases and to retrieve useful information as per the need of the decision makers. [4] Banks have to adjust to the changing requirements of the societies, where people not only repute a bank account as a right rather than a privilege, but are also appraised of the fact that their business is valuable to the bank, and if the bank does not aspect after them, they can take their business elsewhere. Technology in banking is not just the computerization of process, but it is much more than this. The amount of data collected by banks has grown rapidly in recent years. Current statistical data analysis techniques find it difficult to manage with the large volumes of data now available. This volatile growth has leads to the need for new data analysis techniques and tools in order to find the information unknown in this data. Banking is an area where massive amounts of data are collected. This data can be produced from bank account transactions, loan repayments, loan applications, credit card repayments, etc. It is expected that valuable information on the financial profile of customers is hidden within these enormous operational databases and this information can be used to improve the performance of the bank. [7] The banks in India and abroad have started using the techniques of data mining. Chase Manhattan Bank in New York, Fleet Bank Boston, ICICI, IDBI, Citi bank, HDFC and PNB in India are using data mining to analyse customer profiles to use them for their benefits. The banking industry across the world has undergone tremendous changes in the way the business is conducted. With the recent implementation greater acceptance and usage of electronic banking, the capturing of transactional data has become easier and simultaneously, the volume of such data has grown considerably. It is beyond human capability to analyses this huge amount of raw data and to effectively transform the data into useful knowledge for the organization [2]. The banking industry is widely recognizing the importance of the information it has about its customers. Undoubtedly, it has among the richest and largest pool of customer information, covering customer demographics, transactional data, credit cards usage pattern, and so on. As banking is in the service industry, the task of maintaining a strong and effective CRM is a critical issue. To do this, banks need to invest their resources to better understand their existing and prospective customers. By using suitable data mining tools, banks can subsequently offer ÃÆ' ¢Ãƒ ¢Ã¢â‚¬Å¡Ã‚ ¬Ãƒâ€¦Ã‚ ¾tailor-madeÃÆ' ¢Ãƒ ¢Ã¢â‚¬Å¡Ã‚ ¬Ãƒâ€¦Ã‚ ¸ products and services to those customers [2]. There are numerous areas in which data mining can be used in the banking industry, which include customer segmentation and profitability, credit scoring and approval, predicting payment default, marketing, detecting fraudulent transactions, cash management and forecasting operations, optimizing stock portfolios, and ranking investments. In addition, banks may use data mining to identify their most profitable credit card customers or high-risk loan applicants. To help bank to retain credit card customers, data mining is used. By analysing the past data, data mining can help banks to predict customers that likely to change their credit card affiliation so they can plan and launch different special offers to retain those customers. Credit card spending by customer groups can be identified by using data mining. Following are some examples of how the banking industry has been effectively utilizing data mining in these areas. HISTORY OF DATA MINING IN BANKING: Keeping the requirement of use of information technology in the banking sector, the Reserve Bank of India constituted a committee on technology up gradation in the banking sector, the committee emphasized the usage of management information systems by the banks and recommended that by the use of data mining techniques data available at several computer systems can be accessed and by a combination of techniques like classification, clustering, segmentation, sequencing, association rules, decision tree various ALM reports such as Statement of Structural Liquidity, Statement of Interest Rate Sensitivity etc. or accounting information like Balance Sheet and Profit Loss Account can be generated instantaneously for any desired period/date. Trends can be examined and predicted with the availability of historical data and the data warehouse assures that everyone is using the same data at the same level of extraction, which removes conflicting analytical results and arguments over the source and quality of data used for analysis. In Indian Express Newspapers highlights the Citibank, HDFC Bank and ICICI Bank have taken the lead in using data mining along with leading mobile telephony service providers. The data mining techniques can be of enormous help to the banks and financial institutions in this arena for better targeting and acquiring new customers, fraud detection in real time, accommodate segment based products for better targeting the customers, search of the customers obtaining patterns over time for better retention and relationship, detection of developing trends to take proactive approach in a highly competitive market adding a lot more value to existing products and services and launching of new product and service bundles. The leading banks are using data mining tools for credit scoring and approval, customer segmentation and profitability, detecting fraudulent transactions, predicting payment default, marketing, etc. [7] APPLICATION OF DATA MINING IN BANKING SECTOR: As banking competition becomes more and more global and powerful, banks have to fight more creatively and proactively to gain or even maintain market shares. Banks which still trust on reactive customer service techniques and conventional mass marketing are doomed to failure or degenerate. The banks of the future will use one asset, information and not financial resources, as their control for survival and excellence. Most of this knowledge are currently in the banking system and generated by daily transactions and operations. This valuable information need not be collected by intrusive customer surveys or expensive market research programs. Marketing: One of the most widely used areas of data mining for the banking industry is marketing. The banks marketing department can use data mining to analyse customer databases and develop statistically complete profiles of individual customer preferences for products and services. By offering only those products and services that customers really want, banks can save substantial money on promotions and offerings that would otherwise be unprofitable. Bank marketers, therefore, need to focus on their customers by learning more about them. Bank of America, for instance, uses database marketing to improve customer service and increase profits. By consolidating five years of customer history records, the bank was able to market and sell targeted services to customers. Uses of Data mining in the area of Marketing: Customer Acquisition Marketers use data mining methods to discover attributes that can predict customer responses to offers and communications programs. Then the attributes of customers that are found to be most likely to respond are matched to corresponding attributes appended to rented lists of noncustomers. The objective is to select only noncustomer households most likely to respond to a new offer. Customer Retention Data mining helps to identify customers who contribute to the companys bottom line but who may be likely to leave and go to a competitor. The company can than target these customers for special offers and other inducements. Customer Abandonment Customers who cost more than they contribute should be encouraged to take their business elsewhere a customer has a negative impact on the companys bottom line. Market basket analysis Retailers and direct marketers can spot product affinities and develop focused promotion strategies by identifying the associations between product purchases in point-of-sale transactions. Risk Management: Risk management covers not only risks involving insurance, but also business risks from competitive threat, poor product quality, and customer attrition. Customer attrition, the loss of customers, is used in finance, retail, and telecommunications industries to help predict the possible losses of customers. Losing customers to competitors is a major concern for industries today, with the increasing amount of competition businesses are facing. Therefore, methods must be found to determine the number of customers who are likely to be lost to competitors so that a business can be used is to build a model of customers who are likely to leave and go to a competitive company. An analysis of customers who have recently left can often show non-nutritive patterns, such as after a customer has a change of address or a recent protracted exchange with one of the agents of the company. Data mining is broadly used for risk management in the banking industry. Bank executives necessity to know whether the customers they are dealing with are reliable or not. Providing new customers credit cards, prolonging existing customers lines of credit, and approving loans can be unsafe decisions for banks if they do not know anything about their customers. Data mining can be used to reduce the risk of banks that issue credit cards by determining those customers who are likely to default on their accounts. Credit and market risk present the central challenge, one can observe a major change in the area of how to measure and deal with them, based on the advent of advanced database and data mining technology. Today, integrated measurement of different kinds of risk (i.e., market and credit risk) is moving into focus. These all are based on models representing single financial instruments or risk factors, their behaviour, and their interaction with overall market, making this field highly important topic of research. Financial Market Risk Credit Risk Fraud Detection: Another popular area where data mining can be used in the banking industry is in fraud detection. Being able to detect fraudulent actions is an increasing concern for many businesses; and with the help of data mining more fraudulent actions are being detected and reported. Two different approaches have been developed by financial institutions to detect fraud patterns. In the first approach, a bank taps the data warehouse of a third party and use data mining programs to identify fraud patterns. The bank can then cross-reference those patterns with its own database for signs of internal trouble. In the second approach, fraud pattern identification is based strictly on the banks own internal information. Most of the banks are using a hybridÃÆ' ¢Ãƒ ¢Ã¢â‚¬Å¡Ã‚ ¬Ãƒâ€¦Ã‚ ¸ approach [2]. One system that has been successful in detecting fraud is Falcons, fraud assessment systemÃÆ' ¢Ãƒ ¢Ã¢â‚¬Å¡Ã‚ ¬Ãƒâ€¦Ã‚ ¸. It is used by nine of the top ten credit card issuing banks. The data mining techniques will help the organization to focus on the ways and means of analysing the customer data in order to identify the patterns that can lead to frauds [10]. The bank mines customer demographics and account data along different product lines to determine which customers may be likely to invest in a mutual fund, and this information is used to target those customers. Bank of Americas West Coast customer service call centre has its representatives ready with customer profiles gathered from data mining to pitch new products and services that are the most relevant to each individual caller. [1] Portfolio Management: Portfolio management refers to the selection of securities and their continuous shifting in the portfolio to optimize returns to suit the objectives of an investor. Portfolio management package is one of the merchant banking activities recognized by Securities and Exchange Board of India (SEBI). The service can be extracted either by merchant bankers or portfolio managers or discretionary portfolio manager. There are three major activities involved in an efficient portfolio management which are as follows: Identification of assets or securities, allocation of investment and also defining the classes of assets for the purpose of investment, They have to decide the major weights, percentage of different assets in the portfolio by taking in to consideration the related risk factors, To end, they select the security within the asset classes as identify. Risk measurement approaches on an aggregated portfolio level quantify the risk of a set of instrument or customer including diversification effects. On the other hand, forecasting models give an induction of the expected return or price of a financial instrument. Both make it possible to manage firm wide portfolio actively in a risk/return efficient manner. The application of modern risk theory is therefore within portfolio theory, an important part of portfolio management. With the data mining and optimization techniques investors are able to allocate capital across trading activities to maximise profit or minimise risk. This feature supports the ability to generate trade recommendations and portfolio structuring from user supplied profit and risk requirement. With data mining techniques it is possible to provide extensive scenario analysis capabilities concerning expected asset pricesor returns and the risk involved. With this functionality, what if simulations of varying market conditions e.g. interest rate and exchange rate changes) cab be run to assess impact on the value and/or risk associated with portfolio, business unit counterparty, or trading desk. Various scenario results can be regarded by considering actual market conditions. Profit and loss analyses allow users to access an asset class, region, counterparty, or custom sub portfolio can be benchmarked against common international benchmarks. Customer Relationship Management: In the era of cut throat competition the customer is considered as the king and its the customer only who is ruling the whole show. The concept of selling a product to the customer is outdated and obsolete, now the objective is to reach to the heart of the customer and hence to develop a sense of belongingness for the organization. The huge data bases of various organizations are storing billions of data items about the customers. Data mining can be useful in all the three phases of a customer relationship cycle: Customer Acquisition, Increasing value of the customer and Customer retention [5]. Data mining technique can be used to create customer profiling to group the like-minded customers in to one group and hence they can be dealt accordingly [8]. The information collected can be used for different purposes like making new marketing initiatives, market segmentation, risk analysis and revising company customer policies according to the need of the customers [9]. The profiling is usually done on the basis of demographic characteristics, life style and previous transactional behaviour of a particular customer. Customer profiling is to characterize features of special customer groups [10].

Wuthering Heights Questions for Study and Discussion

Wuthering Heights is one of the greatest works by Emily Bronte. Here are a few questions for study and discussion. Questions for Study and Discussion What is important about the title? AnswerWhat are the conflicts in Wuthering Heights? AnswerHow does Emily Bronte reveal character in Wuthering Heights?What are some themes in the story? How do they relate to the plot and characters?What are some symbols in​ Wuthering Heights? How do they relate to the plot and characters?Are the characters consistent in their actions? Which of the characters are fully developed? How? Why?Do you find the characters likable? Are the characters persons you would want to meet?Does the story end the way you expected? How? Why?What is the central/primary purpose of the story? Is the purpose important or meaningful?How does the novel relate to feminist literature?How essential is the setting to the story? Could the story have taken place anywhere else?What is the role of women in Wuthering Heights? How are mothers represented? What about single/independent women?What elements of the story, plot, characterization, etc. are the most controversial? Why do you think the book was banned? Do you believe the book should remain banned?This novel has been compared to the Twilight series. Do you agree? Why? Why not?Compare A Rose for Emily, by William Faulkner, with this novel. How do the characters cope with rejection?Would you recommend this novel to a friend?

Nervous Condition When Things Fall Apart - 1940 Words

Sarah Albanawi Dr. Kristin Sovis English 205 June 22th 2016 Nervous Condition When Things Fall Apart African traditions, values and customs have been slowly influenced by colonization and eventual globalization that has turned the world into a global village. The novel, Things fall apart, is a reflection of the extent to which Africans were tied to their beliefs and customs, as a violation of those customs was regarded as being disrespectful to the gods. The new values and beliefs brought by the missionaries are resisted since the communities regard them as inclined on disrupting the norms that hold the community together. The novel Nervous Conditions is a reflection of colonization effects on Africans’ identity and their state of mind; Dangarembga speaks the voice of an oppressed female from postcolonial Africa, and in male dominated society. Achebe’s regains the voice of Africans and defends their humanity despite their nervous conditions of living in a dual world that can ruin one s self-identity and state of mind. Things Fall Apart is an example encompasses the life, nature, and traditional culture of Africans. Chinua uses Okonkwo, a fierce and champion fighter, to show how Africans led their life with regards to the way they observed traditions, lived in harmony with each other and worked hard to provide food for their families. For instance, when the gods desire the life of Ikemefuna, the village boy whom the Umuofia village had been given in a debt settlementShow MoreRelatedAnalysis Of Chinua Achebe s The Flies 1483 Words   |  6 Pagesbeing, Dangarembga depicts the father figure’s unimpeachable authority as an oppressive element for both Tambu and her cousin Nyasha. Thus, Dangarembga adheres to the template by including its plot, but enters into dialogue with its politics. Nervous Conditions accepts the existence of a unified pre-colonial culture, it also depicts a shift from this culture to a post colonial setting of the mission school. Again, Dangarembga’s novel differs in its politics from Achebe’s in its conclusions of bothRead MoreEssay on Nervous Conditions by Tsitsi Dangarembga1256 Words   |  6 PagesZimbabwean girls and women. Dangarembga drew inspiration for her title from the quote â€Å"the condition of the nation is a nervous one†, from Frantz Franon’s book Wretched of the Earth. The reader sees this idea of nervousness displayed within the female main characters of this novel. â€Å" Its bad enough, when a country gets colonised but when the people do as well! That’s the end, really, that’s the end. (Nervous Conditions,150). This quote stated by Nyasha addresses how colonialism and imperialism are not justRead MoreHow Drugs Can Affect Person s Mental State843 Words   |  4 Pageshas a physiological effect when ingested or otherwise introduced into the body Drugs are substances that change a person s physical or mental state. The vast majority of drugs are used to treat medical conditions, both ph ysical and mental. Some, however, are used outside the medical setting for their effects on the mind.’’ These are referred to as recreational drugs, and many of them are illegal in all fifty states’’(Quain). There are several different kinds of drugs. When a doctor prescribe you aRead MoreChristianism And Colonialism1978 Words   |  8 Pagesthe lives of the people of Africa and brought about a cultural shift that is present in post-colonial times. Examples of this are demonstrated in the novels, Things Fall Apart by Chinua Achebe and Nervous Conditions by Tsitsi Dangarembga in which the authors use the texts as a way to showcase the cultural shift. In the novel, Things Fall Apart, the author showcases the Igbo society prior to colonialism as being a society with a pre-established complex culture. The author then goes on to showcase theRead More Oppression of Women in Chopins Story of an Hour and Gilmans Yellow Wallpaper 1246 Words   |  5 Pagesby exploring the relationships between the characters in each story. In the Story of an Hour, we are told that Louise has a bad heart condition. A friend of the family has discovered that there was a bad accident at her husband?s job and he is on the deceased list. Louise?s sister carefully tells her this distressing news; however, instead of falling apart, Louise finds herself feeling as if she has a new lease on life because she will finally be able to live for herself. Suddenly, her husbandRead MoreWomen During The 18th Century1247 Words   |  5 Pagescentury women were mainly defined by their family and household roles. The woman did not really have legal identity apart from their husbands. Women were look at as slaves because all they did was be at the house and satisfy their husbands in what they wanted. Men would have total control over his wife’s property. The woman also did not have the right to vote unlike men. Some things that women did not have the right of was to vote, own property, could not sit in a jury trial, and could not be a partRead MoreAnalysis of A Catcher In the Ryes Holden Caulfield: Enemy of Himself1686 Words   |  7 Pagesadulthood through the way he becomes infatuated with the stagnancy of some of his surroundings. Various times throughout the text Holden thinks about certain things enviously because he desires the ability they have to resist change. There are various times in the novel where Holden finds a double meaning in stagnant, inanimate objects. This happens when Holden is visiting a museum he has been to many times before as younger child. While observing a glass display case of eskimoes that are arranged in theRead More Fetal Alcohol Syndrome Essay1672 Words   |  7 PagesFetal Alcohol Syndrome (FAS) refers to a group of physical and mental birth defects resulting from a women’s drinking alcohol heavily or at crucial stages during pregnancy. Fetal Alcohol Syndrome was first named and treated in the late 1960s. This condition results from the toxic effect of alcohol and i ts chemical factors on the developing fetus. FAS is the leading cause of mental retardation occurring in 1 out of every 750 births. The frequency of FAS occurs about 1.9 times out of every 1000 birthsRead MoreWhy We Behave And Act The Way We Do1580 Words   |  7 Pagespre-eminence and focused on methodology (112, bailey). As an early functionalist, he employed the organismic analogy using scientific methods in an attempt to better understand how the society worked. An analogy is a way of comparison between one thing and another typically for the purpose of explanation or clarification (oxford dictionary). With this, Durkheim regards the society as a whole, with individual structures adhering to specific developments and operations in order to maintain its existence-Read MoreThe Great Gatsby by F. Scott Fitzgerald1789 Words   |  7 Pagesthis dream. During the Roaring Twenties when the ideal American lifestyle was being portrayed and everything was at an all time high. After the end of the First World War, moral and social values diminished and portrayed the Jazz age in which moral degradation and the recklessness of the 1920s. As a result, loneliness, disillusionment and loss were being portrayed throughout this period. In the Great Gatsby by Scott Fitzgerald, Gatsby is an average man who falls in love with an unattainable society