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Data Mining Jobs

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Hourly - Entry Level ($) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
This is a fairly straightforward contact information gathering job. I will give you an industry (for example, "industrial farm equipment") as well as the names of a few top companies and constraints for your search (e.g. US-based companies only, companies less than 500 people, etc.). Your job will be to: 1) Find contact information for a certain category of employee that we will provide (e.g. product designer, engineering manager, etc.) 2) Find other similar companies in the industry (or a similar industry) based on the constraints we give you, and 3) Find contact information for employees at those companies too. We're looking for fresh contact info -- at least a name, current title and email address, and preferably a direct phone line too. We've done OK in the past using the web, LinkedIn and data.com, but use whatever sources you are most familiar/comfortable with.
Skills: Data mining Google search Internet research Lead generation
Hourly - Entry Level ($) - Est. Time: More than 6 months, 30+ hrs/week - Posted
Task is very simple! You will find contact information about a giving field. Everyone is welcome to apply! Further details will be discussed during interview. I am looking for a few freelancers who are detailed oriented and loves what they're doing.
  • Number of freelancers needed: 5
Skills: Data mining Data Entry Email Handling Google Docs
Hourly - Entry Level ($) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
I need someone who has experience with database software called Act! Contact Manager www.Act.com (you can set up a free account and check it out)... I have a project which would include some internet research for local business contact information and then adding those contacts into this software... It will be a time sensitive project that would need to be done within 10 days, so let me know if this is something you'd be able to do AND if you'll have the time to commit to it. I can NOT be late with the completion. I only have a couple candidates I'm putting this out to and need to make a decision pretty quickly. PLEASE don't waist my time if you are already overworked OR if you can not commit to getting this project done in UNDER 10 days. Garry
Skills: Data mining ACT! Data Entry Internet research
Hourly - Intermediate ($$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
PROJECT OVERVIEW: We are currently working on an infographics campaign to promote our business, and we need an expert web researcher who has experience in the area of home safety/monitoring/security. JOB DETAILS: There are 3 parts to this job. Part 1 is... I'm looking for someone who can gather statistics on property crimes and home invasion (State Level) in the US for the last 10 years. Data should include but not limited to the following: • demographics. • time & exact location. • number of accomplice on a single crime committed. • tool(s) used for the crime. • point of entry • how often they commit same crime on the same house/place. • the estimated cost of the properties stolen. • stats on domestic violence committed by burglars. • how many burglary cases are solved each year. -------------------------------------------- Part 2 of this job is: Statistics on the average spending of Americans per state when it comes to home security for the last 10 years. Data to show: • annual income. • number of family members. • how much is spent on home security gadgets/services/mobile application. • have record of intruder reports • have record of burglary reports. And then... Stats on how much they spend (per state) on luxury like: • gadgets • car • home improvement • home accessories • personal items. -------------------------------------------- Part 3 of this job is: Make a list of top 100 safest cities in the US for the last 10 years. The listing should be based on the stats below: population stats on violent crimes stats on property crimes stats on burglary & home invasion number of burglary & home invasion cases solved. The ranking should be according to the stats of the crimes recorded versus the number of cases solved for the last 10 years. -------------------------------------------- STEPS TO GET THIS DONE: 1. Unless you know the “go-to” places on the web, you’d start your search by using the following search strings: “crime statistics by _____” enter either the city, zip code, state, street address and year. “crime statistics services” there are services that offer free data like http://www.neighborhoodscout.com/neighborhoods/crime-rates/top100safest/. You already have some of the data ready to go. “NameofCrime clearance rate in Year” i.e. “property crime clearance rate in 2005” The key here is to think of possible keyword combination to help you find the information you need. 2. Next you’ll have to record everything on a spreadsheet. To be considered for this job, I expect you know your way creating spreadsheets. You will then fill in the data into a spreadsheet we will provide you with. NOTE: The first two part of this job is in the US state level, while the third one is on the city level. You may notice there are other websites offering data on the 100 safest city out there. Our goal is to top those and offer a much bigger data of information to our readers. -------------------------------------------- A couple things. When you apply mention "I have the expertise" in the first paragraph of your cover letter. Also, give me an overview of your process and how soon can you deliver the first set of data. I’m looking for someone who can work on this right away as we may have future projects together if things go well. See you on the other side! Rock on!
Skills: Data mining Big Data Data Entry Data scraping
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
Hourly - Entry Level ($) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
We need to extract a list of email addresses (and perhaps some more fields, like Name, etc) from a flat file (Mozilla Thunderbird inbox data file). We were able to pull this data previously using simple queries in MS Access
Skills: Data mining
Hourly - Entry Level ($) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
I need an internet scrape done, with all of a specific type of business. I would need the following pieces of inofrmation on each business: 1. Name 2. Location (Address with Zip Code) 3. Industry 4. Contact Phone Number (if possible) 5. Contact Email (if possible) 6. Graphic (if possible) I then need all the information put into excel format. I will make hiring decision on Feb. 12, 2016 Please answer the questions below in your proposal.
Skills: Data mining Data scraping Internet research Microsoft Excel
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