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Data Mining Research

  • Computer Weekly – 7 June 2022: Using technology to reinvent shopping

    Sponsored by: ComputerWeekly.com

    In this week's Computer Weekly, after the pandemic led to a boom in e-commerce, we look at how retailers are turning to tech to revitalise their stores. We examine the issues around using algorithmic automation to manage employees. And we find out how data science is supporting drug discovery at Novartis. Read the issue now.

  • Data Exploration and Discovery: A New Approach to Analytics

    Sponsored by: Teradata

    Access the following white paper to uncover how when used in conjunction with analytics, exploration and discovery tools can give you access to better decision making capabilities, lower operational costs, and an improved business process overall.

  • Infographic: Top big data trends in 2022

    Sponsored by: ComputerWeekly.com

    Big data is driving changes in how organizations process, store and analyze data. The benefits are spurring even more innovation. In this infographic, we take a look at four major trends in big data for 2022.

  • Reporting, Predictive Analytics, & Everything in Between

    Sponsored by: TIBCO

    No one needs to tell you data is important, but how you leverage your data for analytics is critical in maximizing its value within your IT and business operations. Use this 39-page e-book to learn the best practices when it comes to applying data analytics within your organization.

  • Data is pure gold in the right hands

    Sponsored by: ComputerWeekly.com

    Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.

  • Data is pure gold in the right hands

    Sponsored by: ComputerWeekly.com

    Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.

  • A Computer Weekly buyer's guide to deep learning

    Sponsored by: ComputerWeekly.com

    Deep learning can help companies operate faster and more efficiently. In this 13-page buyer'sguide, Computer Weekly looks at the advanced tools available for developers building intelligentapps, the frameworks that can be used and the kit that can enhance a programmer's toolbox.

  • Artificial Intelligence: Spotlight on ASEAN

    Sponsored by: ComputerWeekly.com

    In this e-guide, read about ASEAN's efforts in harnessing AI, the challenges ahead, as well as the rapid developments in the burgeoning field.

  • AI & Automation: Turning data into insights

    Sponsored by: ComputerWeekly.com

    In this e-guide, read more about the trends that are shaping the demand for AI and how organizations including healthcare service providers and F1 racing teams are leveraging technology on their own terms.

  • CW Nordics August 2017

    Sponsored by: ComputerWeekly.com

    The Nordic region, known for its startup companies, is a good platform for fintech companies to set up as consumers are conducive to digital banking services. In this issue, discover how major companies in the financial industry are partnering with startups and launching fintech initiatives and much more.

  • Computer Weekly – 1 August 2017: The fields of Athenry – how Apple's datacentre plans are causing turmoil in a small Irish town

    Sponsored by: ComputerWeekly.com

    In this week's Computer Weekly, we look into Apple's controversial plans to build a huge datacentre in a small town in the west of Ireland, and the local arguments it has caused. We find out how the Met Office is managing its vast quantities of weather data. And we examine Google plans to bring AI to the recruitment market. Read the issue now.

  • Focus: Analytics & data-driven insights

    Sponsored by: ComputerWeekly.com

    In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.

  • Jargon buster guide to GDPR

    Sponsored by: ComputerWeekly.com

    In this guide, we provide the 10 most important things you need to know about GDPR, and a jargon-buster explanation for some of the key terminology.

  • CW Europe – March 2017

    Sponsored by: ComputerWeekly.com

    Technology advancements in recent years have brought about huge social challenges. Artificial intelligence and big data, for example, have gained the serious attention of policy makers across the world.

  • CW Middle East – January 2017

    Sponsored by: ComputerWeekly.com

    In this quarter's CW Middle East ezine, we look at how the Middle East, with the poorest road safety record in the world, could benefit most from self-driving cars.

  • Computer Weekly – 29 November 2016: Machine learning keeps customers happy at Ocado

    Sponsored by: ComputerWeekly.com

    In this week's Computer Weekly, we find out how data scientists at online grocer Ocado are using machine learning technology to deliver better customer service. Manufacturing giant GE is making a play to become a top 10 software supplier. And we examine the future of server operating systems as workloads move to the cloud. Read the issue now.

  • Good Data Governance Programs: Why the Urgency?

    Sponsored by: SearchDataManagement

    Companies aren't gaining enough value from big data. That's why there's a greater need to establish data handling policies and procedures that only good data governance programs can provide. Explore good use vs. abuse of customer data (Wells Fargo, Target, and Bank of America), 4 data governance concerns and best practices, and much more.

  • Big Data & Data Mining Team Up To Help Users Hone A Competitive Edge

    Sponsored by: SearchBusinessAnalytics

    Data science, predictive analytics and machine learning applications start with data collection and data mining tasks that set the stage for analysis. Learn how to manage your data mining tasks and data science applications to help ensure that your big data analytics program is in the corporate spotlight for all the right reasons.

  • Advanced Analytics Tools Help Users Find Meaning in Big Data

    Sponsored by: IBM

    In this expert e-book, find out why in a recent TechTarget survey, predictive analytics was the top choice for planned BI and analytics investments, and how adoption of Hadoop has already allowed major companies to take the next step in big data management.

  • CRM Survival Guide

    Sponsored by: bpm'online

    As with anything, it is important to start off your CRM initiative on the right foot. The only way to do that is by understanding everything this technology has to offer. From common features to the latest trends, this comprehensive guide breaks down everything you need in order to get started with CRM.

  • Mining Gold from Gigabytes August 2016 Business Information

    Sponsored by: SearchDataManagement

    For companies tapping into mountains of amassed data, enterprise business analytics breathes new life into the old axiom "There's gold in them thar hills."

  • Align Employee Performance and Strategic Workforce Planning

    Sponsored by: MacroMicro

    Data grants insight into your talent's performance, but how can you use data from across the company to determine how an individual employee's performance assists in reaching your goals?

  • The Big Data Surge: Data Modeling Challenges & Best Practices for Prepping Big Data Apps for Production

    Sponsored by: IBM

    Surging big data is changing data modeling techniques and app development cycles. Read on to discover what you should expect from big data's near-future and best practices when it comes to transitioning big data applications into the production stage.

  • Customer experience strategy hinges on insight from analytics

    Sponsored by: [24]7.ai

    The key to success is being able to use the data you collected to develop effective CEM strategies. In this expert e-guide, explore how organizations from multiple industries are leveraging insights from data analytics to develop effective customer experience management strategies and give their businesses a boost.

  • Departmental Specialization Needed With Analytics

    Sponsored by: SearchBusinessAnalytics

    This three-part handbook examines BI and analytics deployments for different functional units in organizations with advice on how to make your program work. First, learn about how BI functions when geared towards sales and marketing, before turning towards a customer service approach. Finally, read about how analytics can help with asset protection

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