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      <title>Laboratory manual for big data analysis 316318</title>
      <pubDate>Tue, 23 Jun 2026 14:04:20 +0000</pubDate>
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      <author>Computer Engg Group</author>
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      <title>Data Science and Big Data Analytics</title>
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      <title>Data Science and Big Data Analytics</title>
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      <title>Big data analytics</title>
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      <author>Acharya, Seema</author>
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      <title>Big data &amp; analytics</title>
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      <title>Big data, Big Analytics</title>
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      <author>Minelli, Michael &amp; Others</author>
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      <title>Big data, Big Analytics</title>
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      <title>Big Data and Analytics</title>
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      <title>Information Technology for Management, Advancing Sustainable, Profitable Business Growth</title>
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      <title>Essentials of Business Analytics</title>
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      <author>Camm, Jeffrey D.</author>
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      <title>Big Data Analytics: Introduction to Hadoop, Spark, and Machine-Learning</title>
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      <author>Kamal, Raj</author>
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      <title>Big Data Analytics</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.7098</link>
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      <author>Shankarmani, Radha</author>
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      <title>Business Analytics with Management Science Models and Methods</title>
      <pubDate>Tue, 23 Jun 2026 12:31:08 +0000</pubDate>
      <link>https://127.0.0.1/Record/nmhydkoha.7008</link>
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      <author>Asllani, Arben</author>
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      <title>HBR's 10 Must Reads on AI, Analytics, and the New Machine Age</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.6591</link>
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      <title>Analytics: The Agile Way</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.6512</link>
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      <author>Simon, Phil</author>
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      <title>Big-Data Analytics for Cloud, IoT and Cognitive Computing</title>
      <pubDate>Tue, 23 Jun 2026 12:30:38 +0000</pubDate>
      <link>https://127.0.0.1/Record/nmhydkoha.6555</link>
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      <author>Hwang, Kai</author>
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      <title>Practical Machine Learning with H20: Powerful, Scalable Techniques for Deep Learning and AI</title>
      <pubDate>Tue, 23 Jun 2026 12:30:27 +0000</pubDate>
      <link>https://127.0.0.1/Record/nmhydkoha.6352</link>
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      <author>Cook, Darren</author>
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      <title>Big Data Analytics: Introduction to Hadoop, Spark, and Machine-Learning</title>
      <pubDate>Tue, 23 Jun 2026 12:30:26 +0000</pubDate>
      <link>https://127.0.0.1/Record/nmhydkoha.6317</link>
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      <author>Kamal, Raj</author>
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      <title>Big Data MBA: Driving Business Strategies with Data Science</title>
      <pubDate>Tue, 23 Jun 2026 12:29:46 +0000</pubDate>
      <link>https://127.0.0.1/Record/nmhydkoha.5611</link>
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      <author>Schmarzo, Bill</author>
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      <title>Big Data: Understanding How Data Powers Big Business</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.5612</link>
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      <title>Hadoop in Action</title>
      <pubDate>Tue, 23 Jun 2026 12:29:46 +0000</pubDate>
      <link>https://127.0.0.1/Record/nmhydkoha.5615</link>
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      <author>Lam, Chuck</author>
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      <title>Practical Business Analytics Using SAS: A Hands-on Guide</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.5620</link>
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      <author>Konasani, Venkat Reddy</author>
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      <title>A Practical Guide to Analytics for Governments : Using Big Data for Good</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.5621</link>
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      <title>Artificial Intelligence for Marketing: Practical Applications</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.5623</link>
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      <author>Sterne, Jim</author>
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      <title>Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.5624</link>
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      <author>Abbott, Dean</author>
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      <author>Artun, Omer</author>
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      <title>Profit-Driven Business Analytics: A Practitioner's Guide to Transforming Big Data into Added Value</title>
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      <title>Analytics in a Big Data World: The Essential Guide to Data Science and its Applications</title>
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      <author>Baesens, Bart</author>
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      <title>The Data Science Handbook</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.5228</link>
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      <author>Cady, Field</author>
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      <title>Brand Media Strategy: Integrated Communications Planning in the Digital Era</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.5091</link>
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      <title>Business Analytics for Managers: Taking Business Intelligence Beyond Reporting</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.5118</link>
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      <title>Big Data, Data Mining and Machine Learning: Value Creation for Business Leaders and Practitioners</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.5156</link>
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      <author>Dean, Jared</author>
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      <title>Essentials of Business Analytics</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.4743</link>
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      <author>Camm, Jeffrey D.</author>
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      <title>Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.2742</link>
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      <title>Big Data and Analytics</title>
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      <author>Acharya, Seema</author>
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      <title>Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics</title>
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      <title>Essentials of Business Analytics</title>
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      <link>https://127.0.0.1/Record/nmhydkoha.2475</link>
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      <author>Camm, Jeffrey D.</author>
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      <title>Big Data and Analytics</title>
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      <title>Big Data Analytics: Turning Big Data into Big Money</title>
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      <author>Ohlhorst, Frank</author>
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      <dc:creator>Ohlhorst, Frank</dc:creator>
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      <title>Question Paper MASTER OF SCIENCE (DATA SCIENCE AND ARTIFICIAL INTELLIGENCE) SEM III (CBCGS) RE EXAMINATION 2025-2026</title>
      <pubDate>Tue, 23 Jun 2026 11:39:01 +0000</pubDate>
      <link>https://127.0.0.1/Record/mithibaikoha.541360</link>
      <guid>https://127.0.0.1/Record/mithibaikoha.541360</guid>
      <author>Mithibai College Examination Department</author>
      <dc:format>Thesis</dc:format>
      <dc:format>Book</dc:format>
      <dc:creator>Mithibai College Examination Department</dc:creator>
      <slash:comments>0</slash:comments>
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      <title>QUESTION PAPER MSC - I COMPUTER SCIENCE SEM II (CBCGS) REGULAR EXAMINATION 2025-2026</title>
      <pubDate>Tue, 23 Jun 2026 11:39:01 +0000</pubDate>
      <link>https://127.0.0.1/Record/mithibaikoha.541416</link>
      <guid>https://127.0.0.1/Record/mithibaikoha.541416</guid>
      <author>Mithibai College Examination Department</author>
      <dc:format>Thesis</dc:format>
      <dc:format>Book</dc:format>
      <dc:creator>Mithibai College Examination Department</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Question Paper MSC AS &amp; AI  2025-26 SEMESTER III UNDER NEP</title>
      <pubDate>Tue, 23 Jun 2026 11:38:56 +0000</pubDate>
      <link>https://127.0.0.1/Record/mithibaikoha.541227</link>
      <guid>https://127.0.0.1/Record/mithibaikoha.541227</guid>
      <author>Mithibai College Examination Department</author>
      <dc:format>Thesis</dc:format>
      <dc:format>Book</dc:format>
      <dc:creator>Mithibai College Examination Department</dc:creator>
      <slash:comments>0</slash:comments>
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      <title>Question Paper MSC-I CS  Regular Examination 2024-2025 SEMESTER 2</title>
      <pubDate>Tue, 23 Jun 2026 11:38:21 +0000</pubDate>
      <link>https://127.0.0.1/Record/mithibaikoha.540648</link>
      <guid>https://127.0.0.1/Record/mithibaikoha.540648</guid>
      <author>Mithibai College Examination Department</author>
      <dc:format>Thesis</dc:format>
      <dc:format>Book</dc:format>
      <dc:creator>Mithibai College Examination Department</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Question Paper M.SC. DATA SCIENCE AND ARTIFICIAL INTELLIGENCE Regular Examination 2024-2025 SEMISTER 3</title>
      <pubDate>Tue, 23 Jun 2026 11:38:15 +0000</pubDate>
      <link>https://127.0.0.1/Record/mithibaikoha.540522</link>
      <guid>https://127.0.0.1/Record/mithibaikoha.540522</guid>
      <author>Mithibai College Examination Department</author>
      <dc:format>Thesis</dc:format>
      <dc:format>Book</dc:format>
      <dc:creator>Mithibai College Examination Department</dc:creator>
      <slash:comments>0</slash:comments>
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      <title>Question Paper MSC CS  Regular Examination 2023-2024 SEMISTER 2</title>
      <pubDate>Tue, 23 Jun 2026 11:38:04 +0000</pubDate>
      <link>https://127.0.0.1/Record/mithibaikoha.540345</link>
      <guid>https://127.0.0.1/Record/mithibaikoha.540345</guid>
      <author>Mithibai College Examination Department</author>
      <dc:format>Thesis</dc:format>
      <dc:format>Book</dc:format>
      <dc:creator>Mithibai College Examination Department</dc:creator>
      <slash:comments>0</slash:comments>
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      <title>Question Paper MA CS,MATHS,PHYSICS,CHEMISTRY,  RE-Examination 2018-2024 SEMISTER 3</title>
      <pubDate>Tue, 23 Jun 2026 11:37:58 +0000</pubDate>
      <link>https://127.0.0.1/Record/mithibaikoha.540226</link>
      <guid>https://127.0.0.1/Record/mithibaikoha.540226</guid>
      <author>Mithibai College Examination Department</author>
      <dc:format>Thesis</dc:format>
      <dc:format>Book</dc:format>
      <dc:creator>Mithibai College Examination Department</dc:creator>
      <slash:comments>0</slash:comments>
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      <title>Big data conceptual analysis and applications</title>
      <pubDate>Tue, 23 Jun 2026 11:34:55 +0000</pubDate>
      <link>https://127.0.0.1/Record/mithibaikoha.537131</link>
      <guid>https://127.0.0.1/Record/mithibaikoha.537131</guid>
      <author>Zgurovsky, M</author>
      <dc:format>Unknown</dc:format>
      <dc:date>2020</dc:date>
      <dc:creator>Zgurovsky, M</dc:creator>
      <slash:comments>0</slash:comments>
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      <title>Optimize your greatest asset - how to apply analytics  to big data to improve your human capital investment</title>
      <pubDate>Tue, 23 Jun 2026 11:32:01 +0000</pubDate>
      <link>https://127.0.0.1/Record/mithibaikoha.533965</link>
      <guid>https://127.0.0.1/Record/mithibaikoha.533965</guid>
      <author>Pease, G</author>
      <dc:format>Unknown</dc:format>
      <dc:date>2015</dc:date>
      <dc:creator>Pease, G</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Analytics for insurance - the real business of big data</title>
      <pubDate>Tue, 23 Jun 2026 11:31:32 +0000</pubDate>
      <link>https://127.0.0.1/Record/mithibaikoha.533421</link>
      <guid>https://127.0.0.1/Record/mithibaikoha.533421</guid>
      <author>Boobier, T</author>
      <dc:format>Unknown</dc:format>
      <dc:date>2016</dc:date>
      <dc:creator>Boobier, T</dc:creator>
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