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Data Mining Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
Extract the following data: #1) All-State: Data for the state of Utah as a test This is where we would find a list of all-State Agents by State https://agents.allstate.com/index.html Here is an actual agent profile https://agents.allstate.com/weller-agency-eden-ut.html First Name Last Name (first and last name as separate fields if possible) Address (Separate fields if possible for address, city, state, zip) Email address Phone Mobile Number of reviews Star rating Link: The link to the Reps All-State profile #2) Home Advisor: Carpet Cleaners and Pest Control professionals in the state of Utah as a test. For Home Advisor: http://www.homeadvisor.com/sitesearch/searchQuery?action=SEARCH&startIndex=&showBusinessOnly=false&searchType=ServiceProfessionalSearch&query=carpet+cleaning&explicitLocation=utah company profile http://www.homeadvisor.com/rated.ASpotlessCarpet.39550642.html Company Name Phone Address (Separate fields if possible for address, city, state, zip) Number of reviews Star rating Link: The link to the company Home Advisor Profile Goal is to expand data to all areas and states.
Skills: Data mining Data scraping Internet research Web scraping
Hourly - Entry Level ($) - Est. Time: More than 6 months, 30+ hrs/week - Posted
You will log into a website that provides specifications for items, and you will export the data into Excel. Some of the data will be exported automatically, and some items you will need to copy/paste manually unless you can find some other method to do it, such as data mining, you are free to do so as long as the data is accurate. (If you are able to mine the data, you will receive bonus compensation equal to the average amount of hours it would have taken to gather the data manually.) The information will saved onto a Google Drive file, as well as a local Excel file for backup. We will explain the steps and procedures to you over a Skype screen share conference, also we have uploaded a tutorial video on youtube for your reference which will be provided to you upon hire to review. We have done this manually ourselves before and know how long it takes. The average rate is approximately 80-90 entries per hour worked and you will be expected to meet this quota. If you are able to mine the data in bulk, you will be compensated with a bonus at this rate. YOU MUST BE AVAILABLE FOR WORK & COMMUNICATION DURING OUR WORKING HOURS FOR THE FIRST WEEK WHICH IS 9AM-5PM PACIFIC TIME. AFTER BOTH PARTIES ARE COMFORTABLE WITH YOU WORKING ON YOUR OWN, YOU MAY WORK YOUR OWN HOURS. THIS IS ABSOLUTELY REQUIRED.
Skills: Data mining Data Entry Data scraping Internet research
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
This job is focused on advancement of the experience that thousands of users get navigating, browsing, searching and comparing the content offered through our proprietary technology platform. The end-result (output of the ontology model) will be a set of intuitive and comprehensive multi-level navigation structures (hierarchical taxonomies, facets) for browsing, searching and tagging the content offered to our clients. The end-task is envisioned to be primarily achieved with the usage of Semantic Web concepts and data (LOD and other available SKOS) as per Semantic Web standards. The task most likely will require knowledge/learning of several RDF-based schemas (Resume RDF, HRM Ontology, HR-XML, FOAF, SCIOC, Schema.org) and usage of the W3C’s Semantic Web technology stack components (SPARQL, Protege, Semantic resoners). Key tasks: - Definition of RDF Schema and ontologies based on several existing RDF Schemas (Resume RDF, HRM Ontology, HR-XML, FOAF, SCIOC, Schema.org, etc.) - linking available LOD and SKOS data sets, building several core multi-level hierarchical taxonomies (magnitude of tens of thousands of elements) comprehensively describing the content in our system - Rule-based processing and linking of multiple existing, as well as obtained sets of data using semantic reasoners - Definition, structuring and optimization of hierarchical data sets, definition and maintenance of hierarchical relationships of particular terms (facets) - Research (independent, as well as guided by management team) on publicly available SKOS and LOD sets related to the content of the platform from public (international standards, patent databases, public and government databases, various organizational, available XML datasets, etc.), as well as acquired proprietary sources - Retrieval and ETL of multiple additional data sets from multiple sources - Tagging, Classification, entity extraction - Working with management team to maintain and advance particular segments of defined taxonomies Optional Stretch-Tasks (Depending on Candidate's Qualifications): - Automatic analysis of content, extraction of semantic relationships - Auto-tagging, auto-indexing - Integration and usage of selected IBM Watson services for content analysis - Integration with Enterprise Taxonomy Management platforms (Mondeca, Smartlogic, PoolParty, or others) This job will initially require commitment of 15-20 hours per week over 3-6 months engagement. Interaction with a responsible manager will be required at least twice a week over Skype and Google Hangouts. Longer-term cooperation is possible based on the results of the initial engagement. Required Experience: - Detailed knowledge of Semantic Web concepts and techniques - Intimate familiarity with W3C’s Semantic Web technology stack (RDF, SPARQL, etc.) - Hands-on experience with LOD (DB Pedia and others) and various SKOS - Experience of modeling data based on various RDF schemas (Resume RDF, HRM Ontology, HR-XML, FOAF, SCIOC, ISO 25964, etc.) - Knowledge of common open-source ontology environments and tools (Mediawiki, Protege, etc.) or other enterprise-grade ontology tools (Synaptica, DataHarmony, PoolParty, Mondeca, Top Braid, etc.) - Experience of work with semantic reasoners - Prior experience of content management and maintenance of taxonomies for consumer or e-commerce applications Additional Preferred Experience: - Background in Library and Information Science (MLIS), Knowledge Management, Information Management, Linguistics or Cognitive Sciences - Familiarity with common classification systems - Experience working with catalog and classification systems and creation of thesauri - Auto-tagging, auto-classification, entity extraction
Skills: Data mining Web Crawling Data Analytics Data Entry
Fixed-Price - Intermediate ($$) - Est. Budget: $60 - Posted
FBA selling company curently looking for sourcer and profitable products researcher Has extensive experience product research and inventory. Excel in Affiliate marketing, Email handling and mining, Amazon listings, Apartment listings, Data mining and Administrative tasks. Skills required (MS Office package, fast web browsing capability, multi-task, provide reports once a day with at least 10 profitable products per day) Details about profitability will be discussed via private message. Please write "goldenlabrador" at the very beggining of your reply so I can know you read this whole message. Each proyect will be paid weekly based on fixed fee price. Spreadsheet and tools will be provided for required analysis.
Skills: Data mining Amazon Web Services Amazon Webstore Data Entry
Hourly - Entry Level ($) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
1. Freelancer will receive an Excel Spreadsheet with names and mailing addresses. 2. Freelancer will log in to a website and input the names into the website, cross match addresses, and possibly import email addresses, telephones #s, and possible other mailing addresses.
Skills: Data mining Data Entry
Hourly - Entry Level ($) - Est. Time: Less than 1 month, 30+ hrs/week - Posted
Hi, Please get all leads out of the Twitter account: - https://twitter.com/zencoderinc - https://twitter.com/llnw Get through the followers and create a Google Sheet where we can work with together. Please also share the Google Sheet with me (dragan.marjanovic@bitmovin.com) when you've started. Required fields per follower: email (most important), first_name, last_name, role, company_name, company_website, country, group (Zencoder or Limelight Network: depends where you get this lead from), twitter_link. Thanks and best, Dragan
Skills: Data mining Internet research Lead generation Outbound Sales
Hourly - Entry Level ($) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
I need an excel file with Name of fire department, link to website, names for all employees with their email included, only list employees with emails, for all the fire departments listed in the database provided below. Unless you speak German, I expect you to be able to utilize google translate function to get stuff into English and navigate in that way. That is my current approach to the language barrier. Use this site: http://www.feuerwehrlinks-deutschland.de/suche.php Search for "feuer" in the searchbox at the top of the site That will give you about 3250 hits on different fire departments/brigades.
Skills: Data mining Data Entry Data scraping
Hourly - Entry Level ($) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
We need to extract a list of email addresses (and perhaps some more fields, like Name, etc) from a flat file (Mozilla Thunderbird inbox data file). We were able to pull this data previously using simple queries in MS Access
Skills: Data mining
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