LEADER 01269nam--2200397---450- 001 990001168660203316 005 20050429103216.0 010 $a88-86690-30-4 035 $a000116866 035 $aUSA01000116866 035 $a(ALEPH)000116866USA01 035 $a000116866 100 $a20030808d2000----km-y0itaa50------ba 101 0 $aita 102 $aIT 105 $ay|||z|||001yy 200 1 $a<> doppiaggio$fBassi...[et al.$ga cura di Alberto Castellano 210 $aRoma$cAidac$dcopyr. 2000 215 $a2 v.$d24 cm 327 0 $a[1] : Materiali. - 512 p. - [2] : Profilo, storia e analisi di un'arte negata. - 143 p. 606 1 $aDoppiaggio cinematografico 676 $a791.437 702 1$aCASTELLANO,$bAlberto 702 1$aBASSI,$bLorenzo 801 0$aIT$bSalbc$cISBD 912 $a990001168660203316 951 $aXIII.2. 1167/1 (XVI E 138/1)$b164678 L.M.$cXVI E$d00099423 951 $aXIII.2. 1167/2 (XVI E 138/2)$b164669 L.M.$cXVI E$d00099434 959 $aBK 969 $aUMA 979 $aALESSANDRA$b90$c20030808$lUSA01$h0935 979 $aALESSANDRA$b90$c20030808$lUSA01$h0936 979 $aPATRY$b90$c20040406$lUSA01$h1723 979 $aCOPAT4$b90$c20050429$lUSA01$h1032 996 $aDoppiaggio$9746768 997 $aUNISA LEADER 03295oam 2200481 450 001 9910427044103321 005 20210530204038.0 010 $a1-4842-6345-6 024 7 $a10.1007/978-1-4842-6345-7 035 $a(CKB)5590000000005506 035 $a(MiAaPQ)EBC6419844 035 $a(DE-He213)978-1-4842-6345-7 035 $a(CaSebORM)9781484263457 035 $a(EXLCZ)995590000000005506 100 $a20210530d2020 uy 0 101 0 $aeng 135 $aurcn| ||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical apache lucene 8 $euncover the search capabilities of your application /$fAtri Sharma 205 $a1st ed. 2020. 210 1$aNew York, New York :$cApress L. P.,$d[2020] 210 4$d©2020 215 $a1 online resource (114 pages) 300 $aIncludes index. 311 $a1-4842-6344-8 327 $aChapter 1: HoIa Lucene! -- Chapter 2: Hello World -- The Lucene Way -- Chapter 3: Core Search Fundamentals -- Chapter 4: Spatial Indexing -- Chapter 5: Build Your Own Location Aware Search Engine -- Chapter 6: Build Your Own Text Classifier with Apache Mahout and Lucene -- Chapter 7: Performance Tuning Your Lucene Applications -- Chapter 8: Your First Lucene Patch. 330 $aGain a thorough knowledge of Lucene's capabilities and use it to develop your own search applications. This book explores the Java-based, high-performance text search engine library used to build search capabilities in your applications. Starting with the basics of Lucene and searching, you will learn about the types of queries used in it and also take a look at scoring models. Applying this basic knowledge, you will develop a hello world app using basic Lucene queries and explore functions like scoring and document level boosting. Along the way you will also uncover the concepts of partial searching and matching in Lucene and then learn how to integrate geographical information (geospatial data) in Lucene using spatial queries and n-dimensional indexing. This will prepare you to build a location-aware search engine with a representative data set that allows location constraints to be specified during a search. You?ll also develop a text classifier using Lucene and Apache Mahout, a popular machine learning framework. After a detailed review of performance bench-marking and common issues associated with it, you?ll learn some of the best practices of tuning the performance of your application. By the end of the book you?ll be able to build your first Lucene patch, where you will not only write your patch, but also test it and ensure it adheres to community coding standards. You will: Master the basics of Apache Lucene Utilize different query types in Apache Lucene Explore scoring and document level boosting Integrate geospatial data into your application. 606 $aOpen Source 606 $aComputer Applications 607 $aJava (Indonesia) 615 0$aOpen Source. 615 0$aComputer Applications. 676 $a005.133 700 $aSharma$b Atri$0967404 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910427044103321 996 $aPractical apache lucene 8$92196265 997 $aUNINA