Searching information sources and Automated data collection

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This presentation provides an overview of how to use AMI Enterprise Intelligence's search and automated data collection functions to gather information about the Markets in Financial Instruments Directive (MiFID) from various sources. It describes setting up a collection and monitoring plan to automatically gather documents from selected internal and external sources that are relevant to MiFID and related topics. The results can then be filtered, sorted, and dynamically classified based on metadata.

Technology Business

Overview ,[object Object],[object Object],[object Object]

Collection of Information Business Professional Institutions Trade Associations Legislation Specialist and General Press AMI Automated Collection My areas of Interest Personalised Results My areas of Interest Personalised Results

The « Must Contain » section rules that specified words or phrases must be in the sought after document The « Similar to » section specifies additional areas of interest for research but not mandatory Select the sources to apply to this automated search scenario Collection and Monitoring plan The minimum level of relevance required and frequency of delivery can be fixed for each scenario

Subject Scenario Document Title Source Themes and Topics Automatically discovered Key quotations generated automatically E-mail alerts can be received at preset frequency – hourly, daily, weekly etc

Select sources, Internal (e.g Intranet, E-Mail archive) and External (e.g. Real time news feed, Media News sites) Submit query in language of choice Each result comprises a title with Hyperlink, Summary, Relevance ranking, Source, Language and Similar document function

Filter the results by Site (external), Sources (internal) or by Language. Sorting the results Search using associated metadata: Names, Locations, Organisations

Dynamic classification (clusterisation) of the results starting from the initial request (in this example, the request is “Financial Instruments Directive” on internal sources). Similar requests that have already been submitted are automatically suggested

. This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of interest include, but are not limited to the following Data mining foundations Parallel and Distributed Data Mining Algorithms, Data Streams Mining, Graph Mining, Spatial Data Mining, Text video, Multimedia Data Mining, Web Mining,Pre-Processing Techniques, Visualization, Security and Information Hiding in Data Mining Data mining Applications Databases, Bioinformatics, Biometrics, Image Analysis, Financial Modeling, Forecasting, Classification, Clustering, Social Networks, Educational Data Mining Knowledge Processing Data and Knowledge Representation, Knowledge Discovery Framework and Process, Including Pre- and Post-Processing, Integration of Data Warehousing, OLAP and Data Mining, Integrating Constraints and Knowledge in the KDD Process , Exploring Data Analysis, Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge, Statistical Techniques for Generation a Robust, Consistent Data Model, Interactive Data Exploration/Visualization and Discovery, Languages and Interfaces for Data Mining, Mining Trends, Opportunities and Risks, Mining from Low-Quality Information Sources Important Dates Submission Deadline : August 23, 2020 Notification : September 23, 2020 Final Manuscript Due : October 01, 2020 Publication Date : Determined by the Editor-in-Chief Call for Papers Scope & Topics Ethics Archives Most Cited Articles Download leaflet FAQ ijdkp 10th year logo Top 10 Cited Papers From 2011 Volumes 10 Issues 54 Articles 227 Conferences DMML 2020 - India DTMN 2020 - Sydney DMS 2020 - India DBDM 2020 - Dubai DMDBS 2020 - India Courtesy Smiley face

Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data. This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.

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Searching information sources and Automated data collection

3. Collection of Information Business Professional Institutions Trade Associations Legislation Specialist and General Press AMI Automated Collection My areas of Interest Personalised Results My areas of Interest Personalised Results

4. The « Must Contain » section rules that specified words or phrases must be in the sought after document The « Similar to » section specifies additional areas of interest for research but not mandatory Select the sources to apply to this automated search scenario Collection and Monitoring plan The minimum level of relevance required and frequency of delivery can be fixed for each scenario

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