Academic literature on the topic 'Indian Premier League'

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Journal articles on the topic "Indian Premier League"

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Khondker, Habibul Haque, and Roland Robertson. "Glocalization, consumption, and cricket: The Indian Premier League." Journal of Consumer Culture 18, no. 2 (2018): 279–97. http://dx.doi.org/10.1177/1469540517747094.

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With India’s robust, neo-liberal economic growth and the growing buying power of the Indian consumers, cricket, a popular sport in India, too, has been transformed. Indian Premier League is a short-format, high-value cricket league that features major international cricket stars who come to India to join one of the eight franchised teams that take part in this competitive tournament. Using the sociological framework of glocalization, this article argues that the intersection of the global economic forces and the local culture that celebrates cricket has created a glocal space for its performan
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Saxena, Richa, Riddhi Kanwal, Saiyam Jain, Shanay Gandhi, and Shefali Soni. "Sports analytics: Indian premier league scheduling problem." Asian Journal of Multidimensional Research (AJMR) 8, no. 8 (2019): 42. http://dx.doi.org/10.5958/2278-4853.2019.00264.7.

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Gupta, Anil, Anish Yousaf Naik, and Neelika Arora. "Mapping Sponsorship-linked Marketing in Indian Premier League." IIM Kozhikode Society & Management Review 2, no. 1 (2013): 61–72. http://dx.doi.org/10.1177/2277975213496516.

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Ryder, R. D., and A. Madhavan. "'Intellectual Property League': the importance of IP in the Indian Premier League." Journal of Intellectual Property Law & Practice 4, no. 12 (2009): 901–3. http://dx.doi.org/10.1093/jiplp/jpp170.

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Dutta, Vaishnudebi, Subhomoy Haldar, Prabjot Kaur, and Yuvraj Gajpal. "Comparative Analysis of TOPSIS and TODIM for the Performance Evaluation of Foreign Players in Indian Premier League." Complexity 2022 (April 10, 2022): 1–20. http://dx.doi.org/10.1155/2022/9986137.

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Sports officials, players, and fans are concerned about overseas player rankings for the IPL auction. These rankings are becoming progressively essential to investors when premium leagues are commercialized. The decision-makers of the Indian Premier League choose cricketers based on their own experience in sports and based on performance statistics on several criteria. This paper presents a scientific way to rank the players. Our research examines and contrasts different multicriteria decision-making algorithms for ranking foreign players under various criteria to assess their performance and
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Kaur, Ramanjot, Gurpreet Singh, and Kajal Kajal. "Evaluation and Analysis of Data Mining Techniques to Predict the Winner of Indian Premier League." International Journal of Computer Science and Mobile Computing 11, no. 5 (2022): 31–39. http://dx.doi.org/10.47760/ijcsmc.2022.v11i05.003.

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Cricket is a popular sport in India as well as the rest of the world. In recent years, the T-20 variation of this game has grown in popularity. The Indian Premier League (IPL), a tournament based on this structure, has risen dramatically in recent years. On the other hand, Cricket is known as the game of chance. Fans and followers are also concerned with predicting the victor of a tournament or match. Technology, on the other hand, is rapidly changing. After training a model, researchers always turn to data mining algorithms to predict something. So, in this research, we use various supervised
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M, Ruchitha, and Dr Preeti Savant. "IPL WINNER PREDICTION USING ML ALGORITHMS." International Journal of Engineering Applied Sciences and Technology 6, no. 9 (2022): 104–7. http://dx.doi.org/10.33564/ijeast.2022.v06i09.012.

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Cricket is a popular sport in India as well as the rest of the world. In recent years, the T-20 variation of this game has grown in popularity. The Indian Premier League (IPL), a tournament based on this structure, has risen dramatically in recent years. On the other hand, Cricket is known as the game of chance. Fans and followers are also concerned with predicting the victor of a tournament or match. Technology, on the other hand, is rapidly changing. After training a model, researchers always turn to machine learning algorithms to predict something. So, in this research, we use various super
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Singh, Sanjeet. "Measuring the Performance of Teams in the Indian Premier League." American Journal of Operations Research 01, no. 03 (2011): 180–84. http://dx.doi.org/10.4236/ajor.2011.13020.

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Rishi, Bikramjit, Neil Sabnis, and Sayani Bagchi. "Hockey India league: remnants of India’s long lost glory." Emerald Emerging Markets Case Studies 7, no. 2 (2017): 1–10. http://dx.doi.org/10.1108/eemcs-08-2016-0180.

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Subject area Marketing management, Sports marketing. Study level/applicability The case is targeted at students of postgraduate and undergraduate programmes in business administration, specialising in marketing management/sports marketing. Case overview The Hockey India League (HIL) failed to make its mark. After the grand success of the Indian Premier League in India, there were hopes afloat for the HIL to follow suit. However, while the Pro Kabaddi League and the Premier Badminton League received much appreciation from a devout audience, the HIL did not quite live up to its expectations. Wit
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S, Priyanka. "Prediction of Indian Premier League-IPL 2020 using Data Mining Algorithms." International Journal for Research in Applied Science and Engineering Technology 8, no. 2 (2020): 790–95. http://dx.doi.org/10.22214/ijraset.2020.2121.

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Dissertations / Theses on the topic "Indian Premier League"

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Marwaha, Damini Y. "The Indian Premier League: What are the factors that determine player value?" Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/cmc_theses/722.

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This paper examines and tries to estimate the importance of various characteristics that go into attributing specific dollar values to cricketers. The auction process employed in the Indian Premier League enables one to associate players with specific monetary values and this paper uses various performance criteria to assess what the key variables are towards creating a highly valued cricket player. This paper finds that various batting statistics are of significance in addition to the age and nationality of players.
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Denduluri, Arun. "Indian premier league- The value of a player." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-367633.

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The paper tries to examine and tries to estimate the importance of various characteristics based on the real international statistics of the game of cricket that go into defining and explaining specific monetary values for the cricketers. The auction process employed in the Indian premier league (IPL) enables one to associate players with such specific monetary values. The paper tries to evaluate the above using the data from the IPL auction till 2015 by incorporating the concepts of panel estimation and understanding the previous works in this field. In addition, the paper tests the hypothesi
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Agur, Colin. "Second-Order Network Development in India: Mobile Phone Users and the Indian Premier League." Thesis, 2014. https://doi.org/10.7916/D8D50K9J.

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This dissertation examines second order network formation on India's large and rapidly expanding mobile phone networks. It does so by examining a particular second order network - the Indian Premier League (IPL) mobile network. Using a case study approach and a mix of ethnographic methods and textual analysis, I explore the history that preceded the IPL mobile network, the intentions of its creators, the processes by which users participate on the network, and the outcomes of network expansion and evolution. I deploy the space of flows concept of Manuel Castells, to draw attention to continuit
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Books on the topic "Indian Premier League"

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R, Vivek T., ed. IPL, an inside story: Cricket & commerce. Lotus Collection, 2009.

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Second-Order Network Development in India: Mobile Phone Users and the Indian Premier League. [publisher not identified], 2014.

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The IPL story: Cricket, glamour, and big money. Longman, 2011.

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Dubey, Abhishek. The IPL story: Cricket, glamour, and big money. Longman, 2011.

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Srinivas, Alam. Cricket czars: Two men who changed the gentleman's game. Har-Anand Publications, 2014.

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Deliberate concealment: An insider's account of Cricket South Africa and the IPL bonus saga. Picador Africa, 2015.

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Barclay, Simon. Ipl13: Indian Premier League 2020. Lulu Press, Inc., 2021.

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Barclay, Simon. Ipl7: Indian Premier League 2014. Lulu Press, Inc., 2014.

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Barclay, Simon. Ipl14: Indian Premier League 2021. Lulu Press, Inc., 2021.

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Barclay, Simon. Ipl14: Indian Premier League 2021. Lulu Press, Inc., 2021.

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Book chapters on the topic "Indian Premier League"

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Kanungo, Vidit, and B. Tulasi. "Data Visualization of Player’s Performance in Indian Premier League." In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8461-5_19.

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Santra, Arnab, Aniket Mitra, Abhirup Sinha, and Amit Kumar Das. "Prediction of Most Valuable Bowlers of Indian Premier League (IPL)." In Data Management, Analytics and Innovation. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5619-7_13.

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Kamath, Giridhar B., Shirshendu Ganguli, Simon George, and Vibha. "Fans’ Attachment to Players in the Indian Premier League: Insights from Twitter Analytics." In Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64861-9_40.

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Khandelwal, Mayank, Jayant Prakash, and Tribikram Pradhan. "An Analysis of Best Player Selection Key Performance Indicator: The Case of Indian Premier League (IPL)." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23036-8_16.

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Khandelwal, Mayank, Jayant Prakash, and Tribikram Pradhan. "A Novel Approach for Performance Analysis and Optimal Selection of Players in Indian Premier League Auction." In Emerging Research in Computing, Information, Communication and Applications. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2553-9_33.

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Majumdar, Boria. "The Indian Premier League and world cricket." In The Cambridge Companion to Cricket. Cambridge University Press, 2011. http://dx.doi.org/10.1017/ccol9780521761291.014.

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Thakur, Raj. "Cultural Economy of Leisure and the Indian Premier League." In Cultural Studies in India. Routledge, 2017. http://dx.doi.org/10.4324/9781315095196-17.

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Raj, Sony Jalarajan, and Rohini Sreekumar. "Bollywoodizing Cricket!" In Advances in Media, Entertainment, and the Arts. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6190-5.ch006.

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Bollywood is a cultural product that has molded their representational possibilities to depict the changing social and political scenario of India. Moreover, it is an industry that is commercially successful and makes all efforts to take into account its middle class Indian sentiments and interest. One of its recent ventures is the launch of the Indian Premier League with most of the franchised teams owned by Bollywood stars or at least branded or heralded by film stars. This makes cricket matches extremely glamorized events with the mix of a Bollywood film. This chapter look into this aspect of transformation of a popular game like cricket in India with due consideration to the cultural, entertainment, and Bollywood-izing aspect of the game.
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Halder, Avipsu. "State, Market, and Media in Indian Cricket." In Sports Studies in India. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190130640.003.0025.

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Avipsu Halder’s essay distils a watershed moment when big private broadcasters muscled out state media, and sports became vulnerable to global market forces. Using a political economy perspective the author points out that the socioeconomic groups that dominate the state and its agencies are also at the helm in sports, especially cricket and its governance. Further the differences among these forces over India’s globalisation played itself out in the disputes over broadcast rights and regulations in the early years. The author examines two moments, one, the Hero Cup and how the Doordarshan lost its rights to broadcast. and the allocation of television rights for Indian Premier League matches in and after 2004. In both cases the roles played by the state, its media arm, a private players and the cricketing bodies.
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Subramanian, Vidya. "Cricket at the Altar of Technology." In Speeding up Sport. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192865120.003.0003.

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Abstract This chapter is about the influx of technology into cricket. It describes the many ways in which various technologies found their way into cricket—in coaching, gameplay, broadcast, and umpiring. The shift in cricket’s ‘moral universe’ where fairness in gameplay was taken for granted so much so that not playing fair came to be spoken of as ‘it’s not cricket’ is also discussed. It is argued that most of the changes in cricket, from Kerry Packer’s World Series Cricket to the birth of the Indian Premier League, every radical transformation in the game seems to have come from forces outside the game seeking a foothold within it, usually attempting to induct novelties into the game, whether or not enriching the sport itself.
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Conference papers on the topic "Indian Premier League"

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R, Shankar, and Nanda Gopal L. "What does Indian Premier League pay to India?" In Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India. EAI, 2021. http://dx.doi.org/10.4108/eai.7-12-2021.2314579.

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Ghosh, Amlan, Abhirup Sinha, Pritam Mondal, Anusree Roy, and Pritilata Saha. "Indian Premier League Player Selection Model Based on Indian Domestic League Performance." In 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2021. http://dx.doi.org/10.1109/ccwc51732.2021.9376011.

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Barot, Harshit, Arya Kothari, Pramod Bide, Bhavya Ahir, and Romit Kankaria. "Analysis and Prediction for the Indian Premier League." In 2020 International Conference for Emerging Technology (INCET). IEEE, 2020. http://dx.doi.org/10.1109/incet49848.2020.9153972.

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Paul, Rajdeep. "Big data analysis of Indian premier league using Hadoop and MapReduce." In 2017 International Conference on Computational Intelligence in Data Science (ICCIDS). IEEE, 2017. http://dx.doi.org/10.1109/iccids.2017.8272628.

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Kansal, Prince, Pankaj Kumar, Himanshu Arya, and Aditya Methaila. "Player valuation in Indian premier league auction using data mining technique." In 2014 International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2014. http://dx.doi.org/10.1109/ic3i.2014.7019707.

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Arti, Kamanksha Prasad Dubey, and Sanjy Agrawal. "An Opinion Mining for Indian Premier League Using Machine Learning Techniques." In 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU). IEEE, 2019. http://dx.doi.org/10.1109/iot-siu.2019.8777472.

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Narmadha, V., S. Sneha, and C. Vishali. "Recognizing Eminent Players from the Indian Premier League Using CNN Model." In 2021 4th International Conference on Computing and Communications Technologies (ICCCT). IEEE, 2021. http://dx.doi.org/10.1109/iccct53315.2021.9711881.

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Agrawal, Shilpi, Suraj Pal Singh, and Jayash Kumar Sharma. "Predicting Results of Indian Premier League T-20 Matches using Machine Learning." In 2018 8th International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2018. http://dx.doi.org/10.1109/csnt.2018.8820235.

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Santra, Arnab, Abhirup Sinha, Pritilata Saha, and Amit Kumar Das. "A Novel Regression based Technique for Batsman Evaluation in the Indian Premier League." In 2020 IEEE International Conference for Convergence in Engineering (ICCE). IEEE, 2020. http://dx.doi.org/10.1109/icce50343.2020.9290569.

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Jhansi Rani, P., Aditya Vidyadhar Kamath, Aadith Menon, Prajwal Dhatwalia, D. Rishabh, and Apurva Kulkarni. "Selection of Players and Team for an Indian Premier League Cricket Match Using Ensembles of Classifiers." In 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2020. http://dx.doi.org/10.1109/conecct50063.2020.9198371.

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