...For Technological Research In Engineering Volume 1, Issue 9, May-2014 ISSN (Online): 2347 - 4718 DATA MINING TECHNIQUES TO ANALYZE CRIME DATA R. G. Uthra, M. Tech (CS) Bharathidasan University, Trichy, India. Abstract: In data mining, Crime management is an interesting application where it plays an important role in handling of crime data. Crime investigation has very significant role of police system in any country. There had been an enormous increase in the crime in recent years. With rapid popularity of the internet, crime information maintained in web is becoming increasingly rampant. In this paper the data mining techniques are used to analyze the web data. This paper presents detailed study on classification and clustering. Classification is the process of classifying the crime type Clustering is the process of combining data object into groups. The construct of scenario is to extract the attributes and relations in the web page and reconstruct the scenario for crime mining. Key words: Crime data analysis, classification, clustering. I. INTRODUCTION Crime is one of the dangerous factors for any country. Crime analysis is the activity in which analysis is done on crime activities. Today criminals have maximum use of all modern technologies and hi-tech methods in committing crimes. The law enforcers have to effectively meet out challenges of crime control and maintenance of public order. One challenge to law enforcement and intelligence agencies...
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...decision making take place in businesses and other organizations? (Laudon & Laudon, 2012) It is work of choosing issues that require attention, setting goals, finding or designing suitable courses of action, and evaluating and choosing among alternative actions. The first three of these activities--fixing agendas, setting goals, and designing actions--are usually called problem solving; the last, evaluating and choosing, is usually called decision making. When making a decision one should apply ethics to weigh the value or magnitude of impact. Often at times this can be challenging because there are so many influences that affect ones decisions. Ambiguity can play a big part in the circumstances, details, stakeholders, and morals in which decisions are made. In business ethics and decision making can play a big part by way of employees, product improvement, efficiency of production, and choice of investments as well. Early on in our text we learned that all business and organizations have different levels and at each level different information is need to generate a decision in order to support the overall flow of the business. The...
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...Read the description on page 57 of the book,"Wendy's International Relies on Text Mining for CEM," and answer the. Select one side of the argument as described and provide convincing points either in favor or against the proposal that an investment in text message collection and mining should be made even if no clear positive ROI (return on investment) from better execution can be determined in advance. A healthy customer relationship plays a crucial part in the success of a business. In today's competitive marketplace, every organization wants to know whether its customers are satisfied with the company services or not and their views about the products and services. These all things can be done with a customer survey. Companies can get many benefits by surveying their customers. It is really an inexpensive way to get customer feedback which can help the company to improve customer retention, and customers' suggestion or their creative ideas can help to improve company's product or may help to launch a new product. A company can survey its customers by several ways including text messaging,web-based feedback forms, social media, e-mail messages, call center notes and receipt-based surveys. Nowadays scenario has been changed. People are always on move, you are not able to see them sitting all the time in front of the computer. But most of all the people keep their mobile with them 24 hours a day. So when the company sends its customers survey questions through text message...
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...Gilliland-Moore Wines A Business Proposal to Suggest Employee Recruitment and Selection Prepared for Annetta Cherne Human Resource Director Gilliland-Moore Wines Prepared by Ronald D. Mosely Jr. University of Phoenix Industrial – Organizational Consultant Iwamoto, Crews, Coe Consulting February, 03, 2014 Proposal Number: GMW - 004 Gilliland-Moore Wines A Business Proposal to Suggest Employee Recruitment and Selection Executive Summary Background Gilliland - Moore Wines is a California winery, that has built a successful business in the spirits industry. Gilliand – Moore Wines success dates back 20 years and had a meager start in California and Oregon. Throughout the 20 year period Gilliand – Moore Wines has been able to expand throughout the western hemisphere and gain national recognition through public offerings and winning well - known competitions in the wine industry. Recently, Gilliand – Moore Wines has experienced rapid growth and are looking to expand its local reach into a nation – wide distribution. Objective Currently Gilliand – Moore wines has been corresponding with Iwamoto, Crews, Coe Consulting to find a solution to their current recruitment and personnel selection predicament. This current correspondence will offer a final proposal to this predicament in the form of offering resolution...
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...Data by building new applications, improving the effectiveness, lowering the costs of their applications, helping with competitive advantage, and increasing customer loyalty. It can also be used in other industries to enable a better system and better decision-making. Big Data has become a valuable asset to everyone around the world and continues to impact society today. The ideology of Big Data first came up in the days before the age of computers, when unstructured data were the norm and analytics was in its infancy. The first Big Data challenge came in the form of the 1880 U.S. census when the information involving about 50 million people being gathered, classified, and reported. This census contained a lot of facts to deal with, however, limited technology was available to organize and manage it. It took over seven years to manually put the data into tables and report on the data. Thanks to Big Data, the 1890 census could be placed on punch cards that could hold about 80 variables. Instead of seven years, the analysis of the data only took six weeks. Big Data allowed the government to act on the information in a reasonable amount of time. In order to further understand the concept of Big Data, one can break it down into the 7 V’s – volume, velocity, variety, veracity, variability, visualization, and value. These terms explain the impact and implications of a well thought through Big Data strategy. The first term, volume, refers to the enormous amount of data that...
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...of data to be transferred electronically to another system; productivity, and efficiency; reduction of medical errors; trend analysis; health maintenance; alerts; orders, and results. Authorized personal have unlimited access to patient information, which increases the efficiency and accuracy of providing patient...
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...PART TWO RECRUITMENT AND PLACEMENT | | | | | | |CHAPTER | |T Seven | | | | | | | | | | |7 | | |Interviewing | | | |Candidates | | | |Lecture Outline | | | |Strategic Overview |In Brief: This chapter gives an overview of types of | | |Basic Features of Interviews |interviews and their features. It discusses...
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...|PART TWO RECRUITMENT AND PLACEMENT | | | | | |CHAPTER | |T Seven | | | | | | | | | |Interviewing |7 | | |Candidates | | | |Lecture Outline | | | |Strategic Overview |In Brief: This chapter gives an overview of types of | | |Basic Features of Interviews |interviews and their features. It discusses common | | |Types of Interviews ...
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...“Tools researchers can use to collect primary data about human behavior and marketing phenomena, regardless of the research design, whether exploratory, descriptive or causal” Hair et al. 2006 1-4 Marketing Research CHAPTER 8. Observation Verónica Rosendo Ríos © • Advantages of observation: • They allow measurement of actual behavior rather than reports of intended or preferred behavior. • There is no reporting bias, and potential bias caused by the interviewer and the interviewing process is eliminated or reduced, because there is no communication. • Certain types of data can only be collected by observation, for example information on preference of babies for toys can only be assessed by observing babies at play. • Besides, if the observed phenomenon occurs frequently, observational methods can be cheaper than survey methods. 1-5 Marketing Research CHAPTER 8. Observation Verónica...
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...BI Norwegian School of Management – Thesis Master of Science in Innovation and Entrepreneurship GRA 19002 Convergence, Complementarity or Disruption: Enterprise Search and Business Intelligence By Vedrana Jez Hand-in date: 01.09.2009 Supervisor: Dr. Espen Andersen This thesis is a part of the MSc programme at BI Norwegian School of Management. The school takes no responsibility for the methods used, results found and conclusions drawn. Acknowledgments I would like to thank my supervisor, Dr. Espen Andersen, for his support and guidance throughout the project. I am also grateful to all participants in this research for their contribution and time. Finally, I thank my family for their understanding, encouragement and patience. Thesis 01.09.2009 Content Content ..................................................................................................................... i Abstract .................................................................................................................. iv Introduction ............................................................................................................ 1 Research Methodology ........................................................................................... 2 Research Question .........................................................................................................2 Method Used ..................................................................
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...amount of data being handled and processed has increased tremendously. Big Data analytics plays a very significant part in reducing the size of the data as well as the complexity in applications that are being used for Big Data. Big Data Visualization is an important approach in creating meaningful visuals and graphical representations from the Big Data that help in better decision making and that give a clear insight into the data. Visualization, Big Data, Big Data Visualization, data visualization techniques are some of the topics that are discussed in this paper and examples for visualizations have been presented as well. Keywords— Visualization, Data processing, Data analytics, Big Data, Interactive visualizations. I. VISUALIZATION...
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...supply services, and balance daily lives. As an example, corporations rely on information systems to process financial accounts, manage human resources, provide basic services, study, shop, and bank. An information system (IS) is defined by the free dictionary as a set of inter-related components working together to collect, retrieve, process, store, and distribute information in order to facilitate the planning, control, coordination, analysis, and decision making in companies and other organizations. The World Wide Web (WWW) has become the largest sources of information. However, its content cannot be manipulated in a general way because of two main issues: (1) Finding relevant information is a difficult task and (2) the web is unstructured. Search engines such as Altavista, Google, Lycos, and many others offer some form of structure and comfort to users, however, their query facilities are often limited and come in the form of HTML pages. Most of the information present on the web is stored in a HTML format. HTML is a semi-structured format designed to describe and create the layout of the web pages. HTML is not responsible for the content displayed. These factors have initiated a need and desire to develop data mining techniques. In this paper, I will address the problem of extracting data from the web and I will analyze some of the techniques to approach web mining. Web Applications A Web...
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...WHITE P APER Big Data: Trends, Strategies, and S AP Technology Sponsored by: SAP Carl W. Olofson August 2012 Dan Vesset THE DAWN OF THE INTE LLIGENT ECONOMY The intelligent economy has arrived. The convergence of intelligent devices, social networking, pervasive broadband communications, and analytics is redefining relationships among producers, distributors, and consumers of goods and services. The growth in volume, variety, and velocity of data has created new challenges and opportunities. The information access, analysis, and management challenges of the intelligent economy can overwhelm organizations unprepared for the emerging changes. In this environment, it is not only access to data but the ability to analyze and act upon it that creates competitive advantage in commercial transactions, enables sustainable and secure management of communities, and promotes appropriate distribution of social, healthcare, and educational services. It is not only access to data but the ability to analyze and act upon it that creates competitive advantage. www.idc.com P.508.872.8200 F.508.935.4015 In This White Paper This IDC white paper discusses the emerging technologies of the Big Data movement. It breaks out these technologies according to their most effective roles and use cases. It also discusses why Big Data has become so important at this time and how Big Data can help enterprises reach their business goals. It considers the challenges created by Big Data and how they can...
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...Descriptive research plays an important role in educational research because it has greatly increased our knowledge about what happens in the classroom. What is descriptive research? Descriptive research can involve collecting quantitative information, or it can describe categories of information such as patterns of interaction when using technology in the classroom. Although it may employ fundamentals of both quantitative and qualitative research, descriptive research does not fit neatly into the definition of either quantitative or qualitative research methodology. Descriptive research takes a “what is” approach. Types of questions that may be addressed using descriptive research include: What is the best way to provide access to computer equipment in schools? Do teachers hold favorable attitudes toward using computers in schools? What have been the reactions of school administrators to technological innovations in teaching? Using descriptive research methodologies with the educational setting may be advantageous for several reasons. Educational research and experiences may contain many variables that cannot be realistically controlled, educational research may require observations of life experiences, and data collection may be spread over a large number of people over a large geographic area. Descriptive research may be used most effectively within the educational setting because educational research experiences cannot be as realistically controlled as laboratory...
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...4/02/2015 The rationale for qualitative research Qualitative strategies Types of qualitative methods 1 Qualitative sampling Quality control Week 3 2 Inductive view of relationship between theory and research o theories and concepts emerge from the data Emphasis on words/text rather than numbers Systematic exploration of social phenomenon Description and analysis of social situations A “holistic” understanding Flexible and iterative research method Exploring a problem Identifying perceptions of a problem Identifying relevant interventions Investigating feasibility, acceptability & appropriateness of solutions Developing suitable information, education & communication Complementing quantitative data by helping to interpret it Designing more valid survey instruments 3 4 Qualitative techniques not based on numbers Accrual of large amounts of information about a few cases (people, organisations, facilities, programmes, locations) Data used: when the focus of the research is on meaning and feelings (although these can also be studied quantitatively) when working inductively when the researcher accepts that the concepts, terms and issues must be defined by the subjects and not by the researcher in advance when interaction between members of a group is of interest. Research problem Concept Concept Concept 5 Inductively developed theory 6 1 4/02/2015 “Qualitative...
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