{'fraction_non_alphanumeric': 0.015178571428571428, 'fraction_numerical': 0.0, 'mean_word_length': 4.931216931216931, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Research Interests – Alin Dobra Approximate Query Processing

The recent explosion of the Internet and the rapid technological advances in gathering and storing information have resulted in huge amounts of data being collected at a very rapid rate. Developing ways to extract relevant information from such large amounts of data in a human comprehensible form and at the same time in a timely and cost effective way is of great practical importance. Approximate Query Processing and Data-mining, both concerned with extracting useful knowledge from large amounts of data but using different premises, have been the subject of my research as a PhD candidate. My work, so far, is in most part of theoretical nature but the problems I attacked have direct practical applicability. For me theory is only a tool, albeit a very effective one for gaining interesting insights into the problem, but not an end in itself; I have always accompanied it by implementation and empirical validation. In what follows I will describe in some detail my particular interests in these two areas, pointing out past, current and future work.