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Data mining 8 - casual colorful minimalist puzzle in which you have to collect all the files that are not corrupted to exit the closed circle. The player's goal is to collect all data files, avoiding obstacles and traps, after which the previously closed pass will open to pass the level. In Data mining 8: - 50 level Data-Mining. Unter Data-Mining [ ˈdeɪtə ˈmaɪnɪŋ] (von englisch data mining, aus englisch data ‚Daten' und englisch mine ‚graben', ‚abbauen', ‚fördern') versteht man die systematische Anwendung statistischer Methoden auf große Datenbestände (insbesondere Big Data bzw. Massendaten) mit dem Ziel, neue Querverbindungen und Trends zu erkennen Orange ist eine umfängliche Data-Mining-Software, die demonstriert, wie viel man mit Python ausrichten kann: Es bietet nützliche Anwendungen zur Daten- und Textanalyse sowie Features zum Machine-Learning an und im Bereich des Data-Minings arbeitet es mit Operatoren zur Klassifikation, zur Regression, zum Clustering u. v. m. Außerdem integriert dieses Data-Mining-Tool visuelles Programmieren Data mining is a process of analyzing data, identifying patterns and converting unstructured data into structured data ( data organized in rows and columns) to use it for business-related decision making. It is a process to extract extensive unstructured data from various databases. Data mining is an interdisciplinary science that has mathematics and computer science algorithms used by a machine. Data Mining Software helps the user to analyze data from different databases and detect the. DataMelt, or DMelt, is a software for numeric computation, statistics, analysis of large data volumes (big data) and scientific visualization. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets. DMelt is a computational platform

Die Software für Data Mining bietet ebenfalls praktische Werkzeuge für die Gewinnung von Erkenntnissen für die Bereiche Produktion und Vertrieb. Data Mining Tools filtern und analysieren die vorhandenen Daten nach Trends und Muster und können beispielsweise Kunden weitere Produkte vorschlagen, Kampagnen optimieren oder Wahrscheinlichkeiten für Kreditrückzahlungen (Risikoprognosen) errechnen usw. sehr gut mit der Thematik Data Mining auszukennen. Abbildung 8: Kenntnisstand nach Aufgabenbereich Befragt nach den Methoden des Data Mining zeigt sich, dass vor allem Entscheidungsbäume, Re-gressionsanalysen und Clusteranalysen einem Großteil der Umfrageteilnehmer bekannt sind bzw. eingesetzt werden. Zwischen 10 und 15% der Teilnehmer gab an, eine dieser Methoden beruflic Data Mining is a process to identify interesting patterns and knowledge from a large amount of data. In these steps, intelligent patterns are applied to extract the data patterns. The data is represented in the form of patterns and models are structured using classification and clustering techniques

Unser Trainingsangebot umfasst Statistik, Data Mining, Visualisierung, Simulationstechniken ebenso wie die Nutzung verschiedener Standard-Softwareprodukte. 1130 Wien, Amalienstraße 65 Telefon: +43-1-4816-77 In einer interaktiven, sich selbst dokumentierenden Umgebung für Prozessablaufdiagramme wird der gesamte Data Mining-Prozess abgebildet. So werden die bestmöglichen Ergebnisse erzielt - und die Entwicklungszeit für Ihre Data Miner und Statistiker verkürzt sich deutlich. Zudem bietet diese Lösung mehr Techniken für die prädiktive Modellierung als alle anderen im Handel erhältlichen Data Mining-Pakete. Warum also nicht einfach zum Besten greifen Data Mining ist ein Prozess, der Daten aus unterschiedlichen Blickrichtungen analysiert um neue Erkenntnisse daraus zu gewinnen. In der Regel handelt es sich dabei um große unformatierte bzw. unstrukturierte Datenmengen

Data-Mining - Wikipedi

  1. ing, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data
  2. Data Mining. Data Mining Software zeichnet sich durch die Fähigkeit aus auch mit großen Datenmengen ( Big Data) umgehen zu können. Klassische Data Manining Programme haben dementsprechend eine gute und anwenderfreundliche Datenbankanbindung und sind in der Lage mit Datensätzen umzugehen, die weit größer als der Arbeitsspeicher des verwendeten.
  3. ing programs analyze relationships and patterns in data based on what users request. For example, a company can use data
  4. Nicht jede Data-Mining-Software deckt jedoch alle Analyseaufgaben ab, was auch der Test belegt: So ist der Funktionsumfang bei KXEN und SAP insgesamt deutlich geringer als bei SAS und RapidMiner. Es fehlen bei SAP zum Beispiel Verfahren wie neuronale Netze oder Support Vector Machines, vor allem aber die Sequenzanalyse, die besonders im Handel relativ häufig eingesetzt wird. KXEN bietet nur.
  5. ing software for Windows. It provides several tools for data manipulations, data modeling, data visualization, and data analysis. It divides these tasks in different categories to easily perform them

Data-Mining-Tools im Vergleich - IONO

  1. ing tool is a software application that is used to discover patterns and trends from large sets of data and transform those data into more refined information. It helps you to identify unsuspected relationships amongst the data for business growth. It also allows you to analyze, simulate, plan and predict data using a single platform
  2. Data Mining Tools Auch wenn sich die Wissenschaft des Data Minings zum Teil aus der Statistik entwickelt hat, so stoß en viele Statistik-Programme hier an ihre Grenzen. Die meisten Data Mining/Business Intelligence-Tools sind eigenständige Programme, die in der Regel die Beiden für die Business Intelligence wichtigen Anwendungen - Mustererkennung und Prognose - beherrschen
  3. ing tools which are helpful for us to analyze data: Start Your Free Data Science Course. Hadoop, Data Science, Statistics & others. 1. Rapid Miner. It is developed by Rapid Miner company; hence the name of this tool is a rapid

Freie Data-Mining-Software Der in Java geschriebene RapidMiner 4.0 (früher YALE) bietet neue Analysemethoden und verbesserte grafische Darstellungen für umfangreiche Datenbestände. Lesezeit: 1 Min Solides Grundverständnis. Motivation und Eigenschaften der verschiedenen Data Mining Methoden. kompakter, fundierter Überblick. Weitere Vorteile. Dieses Buch kaufen. eBook 17,98 €. Preis für Deutschland (Brutto) eBook kaufen. ISBN 978-3-8348-2171-3 Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software. Data Mining software is used for examining large sets of data for the purpose of uncovering patterns and constructing predictive models. Related Software Categories: Business Intelligence Softwar

Data Mining Software Top 14 Best Data Mining Softwar

These techniques can be made to work together to tackle complex problems. Generally, data mining software or systems make use of one or more of these methods to deal with different data requirements, types of data, application areas, and mining tasks. If you are curious to learn about data science, check out IIIT-B & upGrad's PG Diploma in Data Science which is created for working. Data Mining bezeichnet die systematische Anwendung computergestützter Methoden auf Datenbestände mit dem Ziel, neue Zusammenhänge, Auffälligkeiten, Muster und Trends zu erkennen. Dabei werden Erkenntnisse aus den Bereichen der Informatik, Mathematik und Statistik zur rechnergestützten Analyse von Datenbeständen genutzt

43 Top Free Data Mining Software in 2021 - Reviews

  1. ing is a process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data
  2. ing analytics software is difficult to operate and requires advance training to work on. Different data
  3. ing software for machine learning and data visualisation. It includes a range of data visualisation, exploration, preprocessing and modelling techniques and can be used as a module for the Python program
  4. ing operations - Maintain a good trade-off between data utility and privac
  5. Aufgabe 8-1 Data Mining Tutorial Outlier Detection Erich Schubert, Arthur Zimek Ludwig-Maximilians-Universität München 2015-06-10 — KDD Übung. Data Mining Tutorial E. Schubert, A. Zimek Outlier detection Aufgabe 8-1 Distanzbasierte Ausreißer Distanzbasierte Ausreißer: Ausreißer sind weiter weg von den anderen Daten I Distanz zum nächsten Nachbarn)übersieht Ausreißer-Paare 10 1.
  6. Das leistungsstarke Data-Mining-Tool wird unter vor allem eingesetzt in Handel, Telekommunikation und der Finanzbranche. Auch Kunden aus dem produzierenden Gewerbe mit hohen Stückzahlen und der Automobilindustrie nutzen die Software. Teradata bietet unter anderem ein Pay-as-you-go-Bezahlmodell an
  7. ing has four main problems, which correspond to clustering, classification, association pattern

Data Mining - Software und Anbiete

Data Mining Werkzeuge. Mit Data Mining Tools lassen sich komplexe Analysen von Datenbeständen durchführen, um darin Strukuren und Muster zu entdecken. Eingesetzt werden dabei Methoden der Statistik, des maschinellen Lernens und der Künstlichen Intelligenz allgemein. Einfache Data Mining Analysen können heute schon mit einigen Datenbank-Engines durchgeführt werden. In der Regel aber ist. Data mining professionals work with databases to evaluate information and discard any information that is not useful or reliable. This requires knowledge of big data, computing and information analysis, and the ability to handle different types of software. LinkedIn's 2017 annual report on emerging jobs noted that three of the most in-demand jobs in the United States were positions related to. Data Mining gehört zur Kategorie Programmierung. Der eigentliche Entwickler dieser kostenlosen Software ist NeoNeuro. Die Installationsdateien dieses Programms sind häufig unter den Namen Arif Data Services.exe, Data Mining.exe, Data Mininig.exe, LGoutsourcing.exe oder Project1.exe usw. gefunden. Diese PC-Software eignet sich für 32-Bit-Version von Windows XP/7. Folgende Versionen werden.

Data-Mining-Tools auf dem Prüfstand. Kundensegmentierungen bilden im CRM-nahen Bereich der sogenannten Customer Relationship Analytics (CRA) eine der zentralen analytischen Aufgaben, die sowohl eine hohe praktische als auch strategische Bedeutung haben. Seine Kundenbasis zu sortieren stellt sich als analytische Querschnittsaufgabe im Rahmen. Data and Software. Contact Data moved to TUdatalib We moved all our datasets to TUdatalib. If you have trouble finding a dataset linked from one of our papers, do not hesitate to contact us. Explore all of our created datasets for a large variety of NLP related tasks: UKP datasets (TUdatalib) Find experimental software from our research projects at UKP: Visit our GitHub. Contact Sitemap. Legal. Data mining software are consistently becoming more and more popular in business world due to its amazing analytical and insightful capabilities to turn a conglomerate of data into a refined and useful knowledge pack making it a valuable asset for a business establishment. The main feature of a data mining software is that it disintegrates large voluminous data in a systematic manner to bring. Data mining software refers to software that allows companies and other users to extract usable data from a large set of raw data to find correlations, patterns, and anomalies. The results of the data mining process help companies predict outcomes. The key techniques used by data mining software to mine data include statistical analyses, specific algorithms, machine learning, database.

Coheris Analytics SPAD is the only software dedicated to Data Mining and Predictive analysis that provides a totally graphical and intuitive interface with so powerful features. The Coheris Analytics SPAD interface includes four views: The project manager view, used to manage analysis, displays all the elements relative to current project. The diagram workspace, which enables you. Data mining usually involves the use of predictive modeling, forecasting, and descriptive modeling techniques as its key elements. CRM in the age of data analytics enables an organization to engage in many useful activities. You can manage customer retention, choose the right segments, set optimal pricing policies, and rank suppliers to your needs Data Mining Tools are software used to mine data. The tools run algorithms at the backend. These tools are available in the market as Open Source, Free Software, and Licensed version. Some of the Data Extraction Tools include: #1) RapidMiner. RapidMiner is an open-source software platform for analytics teams that unites data prep, machine learning, and predictive model deployment. This tool is.

Data Mining Process: Models, Process Steps & Challenges

Data Technolog

  1. Allen gemeinsam ist die Auswertung großer Datenmengen mit Hilfe von Computern und einer entsprechenden Software. Die Methoden des Data Mining sind zunächst wertneutral. Große Mengen von Daten sind der Rohstoff, mit dem Data Mining erst sinnvoll wird. In Jobs im Data Mining arbeiten Sie beispielsweise in der Autoindustrie. Hier werden Daten verschiedenster Art untersucht, um Fehlerquellen.
  2. ing tools for data visualization; Conclusion; What is data
  3. Eine entwickelte, methodisch gut durchdachte Data Mining - Software auf dem Gebiet des Sports (Fußball), berechnet ganz einfach gesagt, mit welchen Wetten, unter welchen Ausgangsbedingungen der Spiele, in der Vergangenheit maximaler Gewinn erzielt worden wäre, speichert die Aspektkonstellationen als statistische Wettsysteme (Strategien) ab und wendet diese auf zukünftige Spielpaarungen mit.
  4. ing software, also known as text analytics or text analysis software, uses natural language processing (NLP) in order to interpret data such as sentiment analysis, language, patterns and phrases. Compare the best Text Mining software currently available using the table below
  5. Mining Software Repositories • The Mining Software Repositories (MSR) field analyzes the rich data available in software repositories. • Analysis of • version control repositories • mailing list archives • bug tracking systems • issue tracking systems, etc. • to uncover information about software systems, projects and software.
  6. ing tools can help you learn more about consumer preferences, gather demographic, gender, location, and other profile data, and leverage all of that information to optimize your marketing and sales efforts. Correlations in purchasing behavior, for instance, can be used to create more sophisticated buyer personas that can, in turn, help you create more targeted messaging. Fraud.
  7. ing software enables organizations to identify patterns in large data sets and extract informational insights from them. Additionally, these tools facilitate organizations to classify and group data and identify relationships among the data. The data

Data Mining Software, Model Development and Deployment

  1. ing software allows users to apply semi-automated and predictive analyses to parse raw data and find new ways to look at information. It's typically applied to very large data sets, those with many variables or related functions, or any data set too large or complex for human analysis. Some examples of how data
  2. Predictive Analytics und verwandte Themen, wie etwa Data Mining, Datenmustererkennung, Business Analytics und statistische Vorhersage, erfreuen sich wachsender Aufmerksamkeit
  3. er, Awesome Miner serves those that need to manage a larger
  4. ing such as best BI reporting tools, competitive intelligence tools, and etc. Insurance area is also a big part of the financial industry. If the insurance companies want to manage their risk successfully and keep their business profitable, they can't afford to.
  5. ing software) are more than crucial. They help you to exa
  6. ing, supercomputing data
  7. g harder to make, with many tools having both a free/community version and commercial/enterprise version. We.

Software für Data Mining - SoftGuid

Our software library provides a free download of Data Mining 2.1.3. The most popular versions among the software users are 2.1, 2.0 and 1.0. The most recent installation package that can be downloaded is 5.1 MB in size. The program lies within Development Tools, more precisely Database Tools. Our antivirus analysis shows that this download is safe. The program's installer files are commonly. Text Mining, seltener auch Textmining, Text Data Mining oder Textual Data Mining, ist ein Bündel von Algorithmus-basierten Analyseverfahren zur Entdeckung von Bedeutungsstrukturen aus un- oder schwachstrukturierten Textdaten.Mit statistischen und linguistischen Mitteln erschließt Text-Mining-Software aus Texten Strukturen, die die Benutzer in die Lage versetzen sollen, Kerninformationen der. Data mining software that was developed by a team of e-commerce experts for businesses selling on the eBay MarketPlace. Learn more about limestats. Compare. Save. Pitchly. View Profile. By Pitchly. 5.0 (1) Pitchly. View Profile. By Pitchly. 5.0 (1) View Profile. Pitchly is a secure, cloud-based platform that makes data accessible and reliable for use in business decisions and content. Data Mining Cup (Projektseminar, 8 SWS) - KDE - FB16 - Universität Kassel. Projektvorbesprechung: Dienstag, 20.04.2010, 16.15 h in Raum 0443. Bei Interesse können Sie auch gerne vorab die Veranstalter ansprechen. Ort und Zeit Data mining software is becoming increasingly complex and the selection of tools is growing. To help you keep track of the most important data mining programs, we have compiled a comparison of the various data mining programs available. Techniques, tasks, and components of data mining . Data mining is the term used for algorithmic methods of data evaluation that are applied to particularly.

Best Data Mining Software - 2021 Reviews & Compariso

Visualize Data Mining Software Market using Verified Market Intelligence:-Verified Market Intelligence is our BI-enabled platform for narrative storytelling of this market. VMI offers in-depth forecasted trends and accurate Insights on over 20,000+ emerging & niche markets, helping you make critical revenue-impacting decisions for a brilliant future. VMI provides a holistic overview and global. Data mining techniques must be reliable, repeatable by company individuals with little or no knowledge of the data mining context. As a result, a cross-industry standard process for data mining (CRISP-DM) was first introduced in 1990, after going through many workshops, and contribution for more than 300 organizations

STATCON Statistik-Software Shop - Data Mining Softwar

Home/ Data-Mining-Software Marktkonkurrentenanalyse Data-Mining-Software Marktkonkurrentenanalyse. globalmarketvision 3 Tagen ago. 0 5 . Marktnachfrage, Chancen und Prognosen für Data-Mining-Software bis 2028 | IBM, RapidMiner, GMDH, SAS Institute MUSTER ANFORDERN ERHALTEN SIE RABATT KAUFE JETZT Der Global Data-Mining-Software -Marktforschungsbericht konzentriert sich auf aktuelle und. Beste 9: Data mining vs process mining im Angebot Erfahrungsberichte von Verbraucher! Mining Power Supply Supply Power Equipment PSU for 8. Machine Power Compatible 2000W, and the with the power conversion efficiency is compatible, you need maximize performance. Longer made of high-quality easy to break, dissipation, which can kinds of all-copper ball fan design electricity bills. The.

Data mining 8 is a Puzzle game, developed and published by Blender Games, which was released in 2020. Know Something We Don't? You can submit or update game data or submit game credits to help us keep our data up-to-date. Game Detail. Platform: PC; Genre: Puzzle » General; Developer/Publisher: Blender Games; Release: June 5, 2020; Franchise: Data mining; Sign Up or Log In. To use this feature. Data mining 8 - casual colorful minimalist puzzle in which you have to collect all the files that are not corrupted to exit the closed circle. The player's goal is to collect all data files, avoiding obstacles and traps, after which the previously closed pass will open to pass the level. In Data mining 8: - 50 levels - Explosions - Traps - Portals - Decelerators - Accelerators - Colorful art. Data mining 8. Jun 5, 2020. Add to My Collection. NA. playscore. To get a playcore, a minimum of 50 gamer ratings and 3 critic reviews are required. NA. gamerscore. 0. NA. criticscore. 0. Rate and Review. Trailer, Gameplay, & Screenshots. Buy now. Steam. About this game. Themes: Casual Single-player Indie. Developer: Blender Games. Summary. Data mining 8 - casual colorful minimalist puzzle in. Data Mining:Concepts and Techniques, Chapter 8. Classification: Basic Concepts 1. 1 Data Mining: Concepts and Techniques (3rd ed.) — Chapter 8 — Jiawei Han, Micheline Kamber, and Jian Pei University of Illinois at Urbana-Champaign & Simon Fraser University ©2011 Han, Kamber & Pei

SAS data mining software uses proven, cutting-edge algorithms designed to help you solve your biggest challenges. Learn more about data mining software from SAS. How It Works Data mining, as a composite discipline, represents a variety of methods or techniques used in different analytic capabilities that address a gamut of organizational needs, ask different types of questions and use varying. 4.8: Data Mining. Data mining is the process of sorting through big data (measured in terabytes). In the past, there was a lack of data to analyze. The challenge is an overabundance of data that must be reviewed, which is called data overload. This becomes an issue because the user needs to evaluate which information is useful and which is not

Data Mining und BI scheinen auf dem Papier unterschiedlich zu sein, aber es gibt eine Menge Überschneidungen, sowohl bei der Datenausgabe, als auch in der Art und Weise wie sie zum Erfolg Ihres Unternehmens beitragen können. Erfahren Sie mehr über Data Mining und wie Business Intelligence Ihre Daten noch weiter optimieren kann Ray Li 2016-06-16. Data mining is everywhere, but its story starts many years before Moneyball and Edward Snowden. The following are major milestones and firsts in the history of data mining plus how it's evolved and blended with data science and big data. Data mining is the computational process of exploring and uncovering patterns in. End to End Data Science. At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best. Explore KNIME Software. Read our Open Source Approach If you have decided to build a dedicated GPU rig for mining the basic software will not be enough, you will need to decide on software that has been optimized to take advantage of your GPU's. This is a list of the most popular Zcash Mining software for each platform, some of this software contains a built-in developers fee. I try to keep this list up to date as I can, if there is a broken. Data mining is used in the following fields of the Corporate Sector − . Finance Planning and Asset Evaluation − It involves cash flow analysis and prediction, contingent claim analysis to evaluate assets. Resource Planning − It involves summarizing and comparing the resources and spending. Competition − It involves monitoring competitors and market directions. Fraud Detection. Data.

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All the latest Data mining 8 news, sales, achievements, videos and screenshots Data mining: It is the most important process in which intelligent methods are applied for extracting data patterns. Pattern evaluation: In this stage, interesting patterns which represent knowledge and are based on interestingness is identified. Knowledge presentation: In this stage, visualization and knowledge representation techniques are used to present knowledge to the users. Kinds of.

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Besides data mining it provides statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others. Orange. Python is picking up in popularity because it's simple and easy to learn yet powerful. Hence, when it comes to looking for a tool for your work and you are a Python developer, look no. The Ethereum mining software supports both AMD and Nvidia cards and can be run on Windows and Linux. PhoenixMiner Ethereum GPU miner software perfectly suits Windows 10. You can use PhoenixMiner to mine other coins based on the ethash algorithm (Ethereum Classic, MOAC, etc.) The developers require a 0.65% of the fee for each miner. This is the lowest commission in our list. Frequently Asked. Data Mining muss immer auch unter dem Kosten-Nutzen-Gesichtspunkt betrachtet werden. Der Wert der gewonnenen Informationen muss die entstandenen Kosten deutlich übersteigen. Nur dann sind diese Informationen wertvoll. Versuchen Sie, die Informationen zu bewerten, um die Rentabilität von Data-Mining-Projekten beurteilen zu können. Die Anwendung von Mustern. Ziel des Data Mining ist es. Data mining and analytics software alone aren't sufficient to respond to your big data challenges. Many businesses and organizations that haven't got their own data scientists. Use a consulting vendor who can provide a full range of data analytics services. Here is a list of the most popular data mining companies that offer consulting services. 1. IBM Analytics Consulting. IBM is not only. Orange Data Mining Toolbox. Toggle navigation. Screenshots; Workflows; Download; Blog; Docs; Workshops; Donate. Windows. macOS. Linux / Source. Download the latest version for Windows Download Orange 3.29.3 Standalone installer (default) Orange3-3.29.3-Miniconda-x86_64.exe (64 bit) Can be used without administrative priviledges. Portable Orange Orange3-3.29.3.zip Anaconda. If you are using.

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Data Mining Software в каталоге ссылок Open Directory Project (dmoz) Для улучшения этой статьи желательно: Переработать оформление в соответствии с правилами написания статей. Пожалуйста, после исправления проблемы исключите её из. Data mining applications are computer software programs or packages that enable the extraction and identification of patterns from stored data. This type of tool is typically a software interface which interacts with a large database containing customer or other important data. Data mining is widely used by companies and public bodies for such uses as marketing, detection of fraudulent. A look at how monitoring patterns of behavior online can be construed as subversive behavior. Will this become the truncheon of a world police state If this sounds like something that would interest you, then Miner-Server is the Ethereum Mining Software for you. Miner-Server has four different mining plans and the least features 250GH/S. the other three hashing power available are 600,000GH/S, 240,000GH/S, and 31,000GH/S This branch of Weka only receives bug fixes and upgrades that do not break compatibility with earlier 3.8 releases, although major new features may become available in packages. There are different options for downloading and installing it on your system: Windows. Click here to download a self-extracting executable for 64-bit Windows that includes Azul's 64-bit OpenJDK Java VM 11 (weka-3-8-5. 8. What is (not) Data Mining? What is not Data Mining? What is Data Mining? - Look up phone number in phone directory - Certain names are more prevalent in certain US locations (O'Brien, O'Rurke, O'Reilly in Boston area) - Query a Web search engine for information - Group together similar documents returned about ―Amazon‖ by search engine according to their context (e.g.

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