Data MiningSlide 2Data Mining – Two Main ComponentsData Mining vs. Data AnalysisData Mining SubtypesPropositional vs. Relational DataKey Component of Data MiningUses of Data MiningUses of Data Mining (Continued)Slide 10Sources of Data for MiningPrivacy ConcernsPrevalence of Data MiningData Mining ControversiesControversies continuedBottom LineRecommended Resources and Works ConsultedData MiningChris NelsonCS 157 AFall 2007Data MiningNew buzzword, old idea.Inferring new information from already collected data.Traditionally job of Data AnalystsComputers have changed this. Far more efficient to comb through data using a machine than eyeballing statistical data.Data Mining – Two Main ComponentsWikipedia definition: “Data mining is the entire process of applying computer-based methodology, including new techniques for knowledge discovery, from data.”Knowledge Discovery Concrete information gleaned from known data. Data you may not have known, but which is supported by recorded facts. (ie: Diapers and beer example from previous presentation)Knowledge PredictionUses known data to forecast future trends, events, etc. (ie: Stock market predictions)Wikipedia note: "some data mining systems such as neural networks are inherently geared towards prediction and pattern recognition, rather than knowledge discovery.“ These include applications in AI and Symbol analysisData Mining vs. Data AnalysisIn terms of software and the marketing thereofData Mining != Data AnalysisData Mining implies software uses some intelligence over simple grouping and partitioning of data to infer new information.Data Analysis is more in line with standard statistical software (ie: web stats). These usually present information about subsets and relations within the recorded data set (ie: browser/search engine usage, average visit time, etc. )Data Mining SubtypesData DredgingThe process of scanning a data set for relations and then coming up with a hypothesis for existence of those relations.MetaData Data that describes other data. Can describe an individual element, or a collection of elements. Wikipedia example: “In a library, where the data is the content of the titles stocked, metadata about a title would typically include a description of the content, the author, the publication date and the physical location”Applications for Data Dredging in business include Market and Risk Analysis, as well as trading strategies.Applications for Science include disaster prediction.Propositional vs. Relational DataOld data mining methods relied on Propositional Data, or data that was related to a single, central element, that could be represented in a vector format. (ie: the purchasing history of a single user. Amazon uses such vectors in its related item suggestions [a multidimensional dot product])Current, advanced data mining methods rely on Relational Data, or data that can be stored and modeled easily through use of relational databases. An example of this would be data used to represent interpersonal relations. Relational Data is more interesting than Propositional data to miners in the sense that an entity, and all the entities to which it is related, factor into the data inference process.Key Component of Data MiningWhether Knowledge Discovery or Knowledge Prediction, data mining takes information that was once quite difficult to detect and presents it in an easily understandable format (ie: graphical or statistical)Data mining Techniques involve sophisticated algorithms, including Decision Tree Classifications, Association detection, and Clustering.Since Data mining is not on test, I will keep things superficial.Uses of Data MiningAI/Machine LearningCombinatorial/Game Data MiningGood for analyzing winning strategies to games, and thus developing intelligent AI opponents. (ie: Chess)Business StrategiesMarket Basket AnalysisIdentify customer demographics, preferences, and purchasing patterns.Risk AnalysisProduct Defect AnalysisAnalyze product defect rates for given plants and predict possible complications (read: lawsuits) down the line.Uses of Data Mining (Continued)User Behavior ValidationFraud DetectionIn the realm of cell phonesComparing phone activity to calling records. Can help detect calls made on cloned phones.Similarly, with credit cards, comparing purchases with historical purchases. Can detect activity with stolen cards.Uses of Data Mining (Continued)Health and ScienceProtein FoldingPredicting protein interactions and functionality within biological cells. Applications of this research include determining causes and possible cures for Alzheimers, Parkinson's, and some cancers (caused by protein "misfolds")Extra-Terrestrial IntelligenceScanning Satellite receptions for possible transmissions from other planets. For more information see Stanford’s Folding@home and SETI@home projects. Both involve participation in a widely distributed computer application.Sources of Data for MiningDatabases (most obvious)Text DocumentsComputer SimulationsSocial NetworksPrivacy ConcernsMining of public and government databases is done, though people have, and continue to raise concerns.Wiki quote:"data mining gives information that would not be available otherwise. It must be properly interpreted to be useful. When the data collected involves individual people, there are many questions concerning privacy, legality, and ethics."Prevalence of Data MiningYour data is already being mined, whether you like it or not.Many web services require that you allow access to your information [for data mining] in order to use the service.Google mines email data in Gmail accounts to present account owners with ads. Facebook requires users to allow access to info from non-Facebook pages. Facebook privacy policy:"We may use information about you that we collect from other sources, including but not limited to newspapers and Internet sources such as blogs, instant messaging services and other users of Facebook, to supplement your profile.This allows access to your blog RSS feed (rather innocuous), as well as information obtained through partner sites (worthy of concern).Data Mining ControversiesLatest one: Facebook's Beacon Advertising program (Just popped on Slashdot within the last week)What Beacon does: “when you engage in consumer activity at a [Facebook] partner website, such as Amazon, eBay, or the New
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