000 01523nam a22002657i 4500
005 20250813122508.0
008 250805s2024 ii a|||fr|||| 001 0 eng d
020 _a9789385358531
040 _aEG-GaU‬‬
_cEG-GaU‬‬
_dEG-GaU‬‬
_erda
082 0 4 _223
_a006.312
_br.k.a
100 1 _aRathore, Kajal
_eauthor.
_962501
245 1 0 _aArtificial intelligence in data mining :
_cKajal Rathore.
_btheories and applications /
264 1 _aNew Delhi :
_bA. Kumar & Sons.,
_c2019.
300 _a248 pages :
_billustrations ;
_c24 cm.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
504 _aIncludes bibliographical references and index.
520 _aA comprehensive undergraduate-level textbook structured to align with Indian technical university syllabi. It thoroughly covers both Machine Design I and II courses—ranging from material properties, manufacturing and strength considerations, and failure theories, to practical component design of fasteners, couplings, springs, bearings, drives, gears, flywheels, and IC engine parts. The text features simplified explanations, illustrative diagrams, numerical examples, GATE-style practice problems, MCQs across difficulty levels, and is widely adopted across engineering institutions in India.
650 0 _aData mining
_91687
650 0 _aArtificial intelligence.
_962413
650 0 _aSustainable chemistry.
_962447
942 _2ddc
_cBK
999 _c11844
_d11844