Survey Of Data Mining Techniques On Crime Data Criminology Essay

Survey Of Data Mining Techniques On Crime Data Criminology Essay Data mining is a process of extracting knowledge from huge amount of data stored in databases, data warehouse and data repositories. Crime is an interesting application where data mining plays an important role in terms of crime prediction and analysis. This paper presents detailed study on clustering techniques and its role on crime applications. This also helps the law enforcers in better investigation and crime prediction. Key words: Crime data mining, crime data analysis, clustering. Introduction In recent years, volume of crimes lead to serious problems throughout the world. Now-a- days criminals have maximum use of modern technologies and hi-tech methods which serve up criminals to commit crimes at an immense measure. The law enforcers have to effectively meet out challenges of crime control and maintain public law and order. Hence, creation of a data base for crimes and criminals is required. Data mining techniques have higher influence in the fields such as law-and-enforcement, narcotics, cyber crime, human trafficking and high-tech crimes. Crime data mining has been applied in the law and enforcement to retrieve the criminal details and useful information automatically, using named entity-extraction method. In this method, each word is compared with the noun phrases and the binary value either zero or one will be generated which indicates the match or mismatch of the name. Intelligence agencies and university of Arizona collaborated COPLINK project and applied crime data mining in two-dimensions as crime types and security concerns to analyses crime and criminals and face challenges of law-enforcement problems of massive data bases from police narrative records [9]. Suspects give details to police investigations in order to confuse and spoil the proceedings of the investigation. During the time of investigation, comparison is needed to find the differences between real entities and deceptive entities. One of the distance measurement methods is Euclidean distance method which is applied to calculate the distance between pairs of the real and deceptive entity and this distance gives the deceptions accurately at the time of detection [10]. Hence, data mining techniques and clustering algorithms have been developed for better crime analysis which leads to the prediction of crimes in future. The organization of the paper is as follows. Section II discusses some researches and applications on crime data analysis. Section III defines the role of data preprocessing in crime data mining. Section IV presents various clustering methods on crime domain and Section V discusses the conclusion and future work. II Related work Recent developments in crime control applications aim at adopting data mining techniques to aid the process of crime investigation. One of the earlier projects COPLINK, was teamed with Artificial Intelligence Lab of Arizona University, the police departments of Tuscon , Phonix solving crime and criminal network analysis [8]. Brown et al. proposed a framework for regional crime analysis (ReCAP), which was built to provide crime analysis with both data fusion and data mining techniques[2]. Data mining steps involved in crime investigations are: collection of crime data from multiple data sources such as police narrative records, criminal background information which consists of previous investigation files and police arrest records are used to diagnose whether a suspect was involved in any earlier cases. If it so, verdict clues from past annals featuring the suspect and it avails the investigators to preside in the case. Using crime data mining techniques, most required information has been extracted from the vast crime databases which are maintained by NCRB (National Crime Record Bureau) for locating à ¢Ã¢â€š ¬Ã…“crime hot-spotsà ¢Ã¢â€š ¬Ã‚ . This helps the law enforcers to predict the crimes and to prevent in the near-future. Nath et al. has proposed k-means clustering technique with some enhancements to aid the process of identification of crime patterns. Semi-supervised learning technique for knowledge discovery has also been further developed which helps to increase the predictive accuracy [6]. J.S. de Bruin, K.Cocx and Kosters et al. have applied clustering techniques for the analysis of crimes and criminal carriers based on four salient factors such as crime nature, frequency, duration and severity of crime[3]. Binary (BCS) and transformed (TCS) categorical methods are similarity based methods used to find the similarity of corresponding attributes between real and deceptive entities from the crime records[13]. Ozgul et al. recently suggested a crime prediction model on crime details like location, date of the incident and mode-of-operandi of events against terrorists which have not been solved[20]. An enhanced Ak-mode algorithm called a weighted clustering algorithm which consists of two-phases to extract similar case subsets from large number of crime datasets[16]. III. Role of data preprocessing in crime data mining Data preprocessing techniques are mainly used for producing high-quality mining results. Raw data are being preprocessed before mining because data are in different format, collected from various sources and stored in the data base and data warehouses. Major steps involved in crime data mining are data cleaning, data integration, data transformation and data reduction. Data Cleaning Fill in missing crime data value. Smoothing crime data Removing outliers of crime data. Resolve inconsistent crime data. Data integration Merging of crime data from multiple data storages. Data Transformation Crime data normalization. Attribute construction Data Reduction Crime Attribute subset selection. Dimensionality reduction of crime attributes Data mining process Raw data Analysis Mining results Fig. Data Preprocessing steps in crime data mining Crime data have been collected from different sources such as police narrative records, criminal profiles, case histories and log files. In the data cleaning step, missing values are filled, noisy data are smoothened ,outliers data are removed and inconsistent data are resolved. Data integration step undergoes merging of crime data. Data normalization and attribution construction are done in the data transformation for standardizing data. When standardization of crime data, the data range falls under 0.0 to 1.0. Attribute subsets are selected from crime dataset and dimensionality has reduced. After preprocessing, finally standard data underwent the process of mining and hence better results are obtained. IV. Application of clustering methods in Crime The Clustering methods play an important role on crime applications. Some of the clustering techniques highlighted are k-means clustering, Ak-mode algorithm and other similarity methods. After preprocessing, the operational crime data are undergoing the clustering techniques for grouping the nature of crimes as different clusters. In this process, lots of unsolved crimes are also grouped together. The next step of clustering is to identify the significant or decisive attribute. This may from case to case.ie. one of the cases may need the age group of victim as decisive attribute and it is very important in a murder cases. The k-means clustering is one of the basic partition clustering techniques. The objects of similar crime cases are grouped together and are very dissimilar when compare to other groups. This algorithm mainly used to partition the clusters based on their means. Initially number of crime cases are grouped and specified as k clusters. The mean value is calculated as the mean distance between the objects. Then number of iteration are done until the convergence occur. The iterative process of weighing attributes and crime types, future crime patterns can be detected by the detectives or analysts. Unsolved crimes are clustered based on decisive attribute and the results are given to the investigators to proceed the case further. This k-mean is applicable only for numerical attributes and it is not applicable to categorical attributes. Ak- mode clustering technique is used for categorical attributes. In this technique there are two steps such as attribute weighting phase and clustering phase. Weights of the attributes are computed using Information Gain Ratio (IGR) value for each attribute. The greatest value of weight is taken as decisive attribute. The distance between two categorical attributes are computed by finding the differences between two cases give the similarity measures. The analyst has set the threshold value ÃŽÂ ± with the help of the computation result of similarity measures. Finally binary and transformed categorical similarity methods are discussed for finding similarity measures. In the data bases, attribute values are either numerical or categorical i.e. either quantitative or qualitative. In the quantitative (numerical), the difference between two attributes are calculated as the direct difference between those two values of attributes. In the case of qualitative(categorical), the difference between two attributes are calculated as binary values as 0 or 1. If there is a match than attribute value will be 1 or 0 if it is not. This method is named as binary categorical method (BCS). In the transformed categorical similarly (TCS) method, the similarity table has created for all the attributes and the differences between those attributes value will be calculated. This difference gives the similarity measures. Hence various clustering techniques are used to identify the crime patterns which helps the crime analysts to proceed the cases further. V. Conclusion and future work Crime data were under various data preparing steps i.e cleaned the data, resolved inconsistent data and outliers are removed. Grouping crime data objects of clustering was needed to identify crime patterns which support crime analysts and law-enforcers to proceed the case in the investigation and help solving unsolved crimes faster. Similarity measures is an important factor which helps to find unsolved crimes in crime pattern. K-means, Ak-mode and other similarity methods such as binary categorical and transformed categorical methods were used to find the similarity measures of attributes which are very much needed to the crime analysts and police enforcers to solve unsolved crimes. In future, some of the enhancements should be done in the existing algorithms to get an accurate results. There should be some improvement in finding similar case subsets that will be a good direction for solving crimes easily. Finally, challenge of setting threshold value without crime analyst may be an important task in future.

my SWOT Essay

Brochure More information from http://www.researchandmarkets.com/reports/641109/ London Biscuits BHD Description: Quantitative analyses of financial statements (Income Statement, Balance Sheet and Sources of Capital), extensive ratio tables (Accounting, Asset Utilization, Employee Efficiency, Fixed Charges Coverage, Leverage Analysis, Liquidity Analysis, Per-share Data and Profitability Analysis) and proprietary Wright Quality Rating analyses tables. The Wright Quality Rating, a measure of corporate risk, examines the liquidity of the stock, financial strength, profitability and corporate growth characteristics of London Biscuits BHD. There is a textual review of the financial results of London Biscuits BHD versus Cocoaland Holdings Bhd, Apollo Food Holdings Berhad and Teck Guan Perdana Berhad. The comparative analysis of these companies compares Sales (sales, sales growth and sales per employee), Company Valuations (Price/Earnings, Price/Book, Price/Sales and 52-Week Price Change) and Financial Position (Long-term Debt/Equity). Also included for London Biscuits BHD are the Company Description, Recent Stock Performance, Profitability Analysis, Dividend Analysis, and Key Data Items (Ticker, Major Industry, Sub-Industry, Fiscal Year End Month, Employees, Share Type, Market Capitalization, Total Shares Outstanding and Number of Closely Held Shares.) Additional research for London Biscuits BHDincludes tables with up to 10-years of history of computed ratios, sales, earnings, and security prices. Contents: This product typically includes the following sections: Company Fundamentals – Company Profile – Comparative Business Analysis – Summary Analysis per Share – Sales Analysis – Price Analysis – Earnings and Dividends Analysis Financial Statement Analyses – Balance Sheet – Common Size – Balance Sheet – Year-Year Percent Change – Balance Sheet – Five-Year Averages- Income Statement – Common Size – Income Statement – Year-Year Percent Change – Income Statement – Five-Year Averages- Sources of Capital Financial Ratio Analyses – Accounting Ratios— Asset Utilization— Employee Efficiency– Fixed Charges Coverage – Leverage Analysis – Liquidity Analysis— Per-Share Data – Profitability Analysis Wright Quality Rating Analyses – Investment Acceptance – Financial Strength – Profitability and Stability – Corporate Growth Notes: – Report is included when there are five or more years of data history. — Report is included when employee counts are available. —These reports are not produced for Financial Companies. Ordering: Order Online – http://www.researchandmarkets.com/reports/641109/ Order by Fax – using the form below Order by Post – print the order form below and send to Research and Markets, Guinness Centre, Taylors Lane, Dublin 8, Ireland. Page 1 of 2 Fax Order Form To place an order via fax simply print this form, fill in the information below and fax the completed form to 646-607-1907 (from USA) or +353-1-481-1716 (from Rest of World). If you have any questions please visit http://www.researchandmarkets.com/contact/ Order Information Please verify that the product information is correct. Product Name: London Biscuits BHD Web Address: http://www.researchandmarkets.com/reports/641109/ Office Code: OC8DIPRONORURY Product Format Please select the product format and quantity you require: Quantity Electronic (PDF) Single User: â‚ ¬75 Contact Information Please enter all the information below in BLOCK CAPITALS Title: First Name: Mr Mrs Dr Miss Last Name: Email Address: * Job Title: Organisation: Address: City: Postal / Zip Code: Country: Phone Number: Fax Number: * Please refrain from using free email accounts when ordering (e.g. Yahoo, Hotmail, AOL) Ms Prof Page 2 of 2 Payment Information Please indicate the payment method you would like to use by selecting the appropriate box. Pay by credit card: American Express Diners Club Master Card Visa Cardholder’s Name Cardholder’s Signature Expiry Date Card Number CVV Number Issue Date (for Diners Club only) Pay by check: Please post the check, accompanied by this form, to: Research and Markets, Guinness Center, Taylors Lane, Dublin 8, Ireland. Pay by wire transfer: Please transfer funds to: Account number 833 130 83 Sort code 98-53-30 Swift code ULSBIE2D IBAN number IE78ULSB98533083313083 Bank Address Ulster Bank, 27-35 Main Street, Blackrock, Co. Dublin, Ireland. If you have a Marketing Code please enter it below: Marketing Code: Please note that by ordering from Research and Markets you are agreeing to our Terms and Conditions at http://www.researchandmarkets.com/info/terms.asp Please fax this form to: (646) 607-1907 or (646) 964-6609 – From USA +353-1-481-1716 or +353-1-653-1571 – From Rest of World

Everything You Need to Know About Writing Great Reviews

Does a career spent reviewing movies, music, books, TV shows, or restaurants seem like nirvana to you? Then you’re a born critic. But writing great reviews is an art, one that few have mastered. Here are some tips: Know Your Subject Too many beginning critics are eager to write but know little about their topic. If you want to write reviews that carry some authority, then you need to learn everything you can. Want to be the next Roger Ebert? Take college courses on the history of film, read as many books as you can and, of course, watch lots of movies. The same goes for any topic. Some believe that in order to be a truly good film critic you must have worked as a director, or that in order to review music you must have been a professional musician. That kind of experience wouldn’t hurt, but it’s more important to be a well-informed layman. Read Other Critics Just as an aspiring novelist reads the great writers, a good critic should read accomplished reviewers, whether it’s the aforementioned Ebert or Pauline Kael on film, Ruth Reichl on food, or Michiko Kakutani on books. Read their reviews, analyze what they do, and learn from them. Don’t Be Afraid to Have Strong Opinions Great critics all have strong opinions. But newbies who aren’t confident in their views often write wishy-washy reviews with sentences like â€Å"I sort of enjoyed this† or â€Å"that was okay, though not great.† They’re afraid to take a strong stand for fear of being challenged. But there’s nothing more boring than a hemming-and-hawing review. So decide what you think and state it in no uncertain terms. Avoid â€Å"I† and â€Å"In My Opinion† Too many critics pepper reviews with phrases like â€Å"I think† or â€Å"In my opinion.† Again, this is often done by novice critics afraid of writing declarative sentences. Such phrases are unnecessary; your reader understands that it’s your opinion you’re conveying. Give Background The critic’s analysis is the centerpiece of any review, but that’s not much use to readers if she doesn’t provide enough background information. So if you’re reviewing a movie, outline the plot but also discuss the director and his previous films, the actors, and perhaps even the screenwriter. Critiquing a restaurant? When did it open, who owns it and who’s the head chef? An art exhibit? Tell us a little about the artist, her influences, and previous works. Don’t Spoil the Ending There’s nothing readers hate more than a film critic who gives away the ending to the latest blockbuster. So yes, give plenty of background information, but dont give away the ending. Know Your Audience Whether you’re writing for a magazine aimed at intellectuals or a mass-market publication for average folks, keep your target audience in mind. So if you’re reviewing a film for a publication aimed at cineastes, you can wax rhapsodic about the Italian neo-realists or the French New Wave. If you’re writing for a wider audience, such references might not mean much. That’s not to say you can’t educate your readers in the course of a review. But remember – even the most knowledgeable critic won’t succeed if he bores his readers to tears.

The Theme of Revenge in Hamlet by William Shakespeare - Free Essay Example

Sample details Pages: 5 Words: 1473 Downloads: 1 Date added: 2019/04/01 Category Society Essay Level High school Tags: Hamlet Essay Revenge Essay William Shakespeare Essay Did you like this example? To avenge ones fallen father was seen to be a moral obligation in most revenge tragedies during the Elizabethan era and it was certainly no different in Shakespeares tragedy Hamlet. The act of revenge was a major theme that revolved around Hamlet, Laertes, and Fortinbras who all share a desire to kill their fathers murderer yet contrast in terms of character. Hamlet and Laertes the two that pursued vengeance the most ultimately met their end, while young Fortinbras who was convinced to not enact on his desires to get revenge lived and rose to power. Don’t waste time! Our writers will create an original "The Theme of Revenge in Hamlet by William Shakespeare" essay for you Create order Shakespeare is intent in developing the persistent developing the persistent ambiguities of emotion, rhetoric, and acting to their ultimate riddling potential, to the point where they have the power to not only delay the movement to revenge but to subvert and even abort it (Mercer, 121) In this Shakespeare implies that vengeance shouldnt be so sought after and is better left to the heavens to decide the killers fate. Revenge can be seen as The returning of evil-for-evil (Benditt,8) and although the revenge tragedy was a popular genre, a majority of the Elizabethans condemned the idea of revenge as both the church and state believed that it would cause immense amounts of civil disorder Private revenge could lead to quarrels, thence to a public tumult thence to dissension between families, and thus to national quarrels. Since punishment was the prerogative of the state, every possible argument was induced to convince the private citizen that he must leave revenge to god. (Prosser 5) Instead of seeking out vengeance Elizabethans believed that seeking revenge was sin and was better left to god. Those who decided to pursue revenge lost any chance of forgiveness and were eternally punished in the afterlife. The thought of being punished in the afterlife was the leading cause of delay in Hamlets revenge as he puts all his trust on Heaven as the providential means to the resolution to the crises hes facing.(Zak,85) . Although Hamlet claims that his revenge will be swift at first, he puts it off because he thought the ghost was a devil imitating his father in order to convince him to sin in order to punish him eternally in the afterlife. The problem with this logic is that even if the ghost is telling the truth Hamlet still would be punished in the afterlife. The only thing that hamlet would gain from taking revenge would be honoring his fathers wish. The second instance being after Claudius is trying to pray: And now Ill dot. And so he goes to heaven And so Am I reven ged. That would be scanned: A villain kills my father, and for that, I, his sole son do this same villain send To heaven (3.3.74-8) Because Hamlet believes that a man who is killed while praying will be sent to heaven he puts off his revenge until he can find a moment where Claudius is committing a sin. Because Hamlet puts off his vengeance it causes his downfall as it creates more problems later and allows Claudius to plan out his schemes to get rid of Hamlet. In seeking revenge no matter how just the cause may be, it essentially makes the person seeking revenge as bad as the person who committed the crime. though it would insist upon the singularity of the villainy it would punish, inevitably it duplicates the crime. (Kastan, 199). No matter how see it Although Hamlet constantly hesitates about taking revenge, the one time he decides to act he kills Polonius an innocent bystander essentially making him as a bad as Claudius in the eyes of Laertes. In enacting revenge, the revenger potentially harms those around them in their quest for justice. In Hamlets case his desire to enact revenge led to the death of many characters such as Rosencrantz and Guildenstern, but most importantly it led to Ophelias madness and untimely death. Although hamlet did love Ophelia, his plan to study the king involved him to feign madness. In his false madness he would constantly push Ophelia away from him which made her believe that he rejected her love. Hamlets killing of Polonius then proceeded to push her off the edge both mentally and physically. The pursuit of revenge also affects the revenger mentally to the point where it deteriorates their mind to the point where they are consumed by anger and revenge is the only thing they fo cus on. Laertes best exemplifies this as he contrasts with hamlet in the fact that he takes immediate action and will carry out his revenge if given the opportunity. Not long after Polonius died Laertes returns to Denmark from France. without even gathering information about his fathers killer or considering any sort of consequence, Laertes rallies a mob to kill Claudius. After Claudius somewhat clams Laertes down, he manipulates Laertes enraged state to encourage him to take revenge on Hamlet. Shortly after the announcement of Ophelias death, Laertes once again becomes enraged now to the point where vengeance is the only thing that is on his mind and at this point there is nothing that could quell his anger more than revenge. Although he managed to secure his vengeance, in the end his pursuit of revenge cost him his life, and in his final moments he felt nothing but guilt and regret. Even if the law does not persecute the offender they recommend that doing nothing and being patient will resolve everything as god begins punishing sins immediately, with lamentable calamities many terrible frights remorse of conscience, desperate repentance and continual troubles and unquietnesse (Prosser,11) This can be seen in hamlet more specifically right after the performance of the mouse trap when Claudius is trying to pray: Whereto serves mercy serves mercy But t o confront the visage of offense? And whats in prayer but this twofold force, To be forestalled ere we come to fall, Or pardoned being down? Then Ill look up. My fault is past. But, O, what form of prayer can serve my turn? Forgive me my foul murder That cannot be since I am still possessed of those effects for which I did the murder. (3.3.46-53) In his soliloquy, Claudius expresses his guilt for killing his bother by asking for forgiveness, but his sins cannot be forgiven as long as he retains all he has gained by killing so now he has to live the rest of his life. Shakespeare implies that doing nothing resolves everything with the survival of young Fortinbras at the end of the play. Hamlet, Laertes, and Fortinbras all share the desire to avenge their father. while they all succeed in Hamlet puts too much thought into his revenge and because of it he constantly puts it off which causes his downfall. Laertes acts rationally and acts the moment he is given the opportunity thus causing his downfall. While young Fortinbras is also quick to act yet he loses his desire to get revenge, so he puts more focus on restoring the land Norway lost. As a prince who happens to also be a solider Fortinbras is very calculating, although his father was killed when he was just a child he waited until an opportunity to strike. In this case he kn ew about the current state of Denmark and began rallying troops to reclaim the land that was lost to former King Hamlet. He was also very open about declaring his revenge, unlike hamlet who only tells a very small amount of people. Fortinbras establishes that he wants to get revenge and everyone in Denmark knows about it: And this, I take it, Is the main motive of our preperations, the soure of our watch, and the chiefs head Of this posthaste and rummage in the land (1.1.108-11) Because nearly everyone was informed about Fortinbrass desire of reclaiming the land lost to Denmark, Claudius was able to address the situation by sending Cornelius and Voltimand to seek out the bed ridden king of Norway. Although the king of Norway was aware that Fortinbras was going around and gathering troops he thought it was to attack Poland, so once he found out he was able to put an immediate halt to it. And out of respect to his uncle he made a vow to nevermore more to give th assay of arms against Your Majesty (2.2.70-1) but because his Uncle respects Fortinbrass ambition he allowes him to keep the army hes gathered and What made Fortinbras more successful than Hamlet and Laertes is that he had an uncle that convinces him not to pursue revenge unlike the ghost of Hamlet and Claudius who encourages Hamlet and Laertes to get revenge. He also has an immense amount of respect for his family and complies with their wishes, unlike hamlet who is seen to throw witty remarks at Claudius and Gertrude.