Two women of the same age, bearing uncannily similar names, hailed from different corners of their state. Fate brought them together in the bustling capital city, where they embarked on a peculiar journey of sharing an apartment. Despite their contrasting temperaments and divergent life aspirations, they discovered solace in one another's company. Through a series of trials and triumphs, they navigated the intricate tapestry of life, encountering various individuals along the way. The looming question remained: would they ultimately attain their respective goals? Could their friendship endure the relentless challenges that beset them?
Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data. - Investigates various methodologies and algorithms for data summarization, clustering and classification - Covers both theory and practical applications from around the world, across all related disciplines of Intelligent Information Filtering and Organization Systems - Explores different challenges and issues related to spam filtering, attribute selection, and classification for large datasets
You can measure practically anything in the age of social media, but if you don’t know what you’re looking for, collecting mountains of data won’t yield a grain of insight. This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results. Authors Lutz Finger and Soumitra Dutta originally devised this system to help governments and NGOs sift through volumes of data. With this book, these two experts provide business managers and analysts with a high-level overview of the Ask-Measure-Learn system, and demonstrate specific ways to apply social media analytics to marketing, sales, public relations, and customer management, using examples and case studies.
This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures. This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.
Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data. - Investigates various methodologies and algorithms for data summarization, clustering and classification - Covers both theory and practical applications from around the world, across all related disciplines of Intelligent Information Filtering and Organization Systems - Explores different challenges and issues related to spam filtering, attribute selection, and classification for large datasets
A memoir—written in the wake of a cancer diagnosis—that zeroes in on the crux between two brothers: one who became an LAPD officer, and the other a terrorist Sunil Dutta is a twenty-year veteran of the LAPD. Before that, he was a biologist at the University of California and a translator of classic Indian poetry. Before that, he was a destitute refugee, one of so many uprooted by the genocidal violence surrounding the Partition of India. Back then, he had a brother. Back then, they were children together, chasing whatever fun and solace they could find in impossible conditions. Sunil looked up to Raju. He admired his strength, his character. Raju took a different path. He was arrested, he fled the law, he became a fugitive. He became a terrorist. Then he became a father—and then a murderer. After being diagnosed with Stage IV lung cancer later in life, Sunil urgently wanted to understand what choices had led he and his brother down such radically different paths. In Stealing Green Mangoes, Dutta takes us from his family home in Rajasthan to America, to France, to the streets of southeastern Los Angeles, homing in on the questions that tore him and Raju apart: Can you outgrow the madness that made you? Can you make peace with the ghosts of your past? A memoir with sweeping, spiritual ambitions, Stealing Green Mangoes tells the story of a man who pushed back against the forces that captured his own brother and built a compassionate, meaningful life in a broken world.
In her second book, award-winning actor Divya Dutta recounts her experiences with some of the stalwarts of Bollywood who played a significant role in her film journey. She talks about the inspirations they have proved to be in her life through what they did for her and what she learnt from them. From winning an acting scholarship with Sonali Bendre to sharing a vanity van with Juhi Chawla and her bond with Shabana Azmi, she tells it all with rare candour and humility. Her interactions with stars like Irfan Khan, Amitabh Bachchan, Rakeysh Mehra and many more shows not only the deep impact they had on her life but also how that defined the trajectory of her own career.
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